Direct Search Research Articles

Comparative analysis of direct search methods for material design optimization

This paper contributes to the field of optimization for periodic composite material design by systematically evaluating the performance of four direct search algorithms: greedy, simulated annealing (SA), genetic algorithms (GA), and particle swarm optimization (PSO). The central goal is to determine the optimal arrangement of two material domains inside a representative volume element (RVE) while respecting the constraint that half volume of the domains is composed of a specific material, with the effective shear modulus as the objective function. The main contribution of this work is the detailed comparison of these algorithms in terms of success rates and computational efficiency, providing critical insights into their suitability for different problem scales. For a small-scale problem (16 cells), PSO achieves a 100% success rate, while SA demonstrates over 90% success but at a higher computational cost. The greedy algorithm, despite its simplicity, achieves a 72% success rate with the lowest computational effort, requiring an average of 256 objective function evaluations. GA, however, exhibits the lowest success rate at 52% and requires the highest average number of evaluations (5003.2). Furthermore, the paper extends the analysis to a more complex problem (36 cells), where the adaptability and efficiency of the algorithms are tested. This investigation highlights the trade-offs between algorithmic complexity, success rate, and computational cost, offering practical guidelines for selecting suitable optimization methods based on problem size and characteristics.

Frigatebird optimizer: a novel metaheuristic algorithm

Abstract This paper proposes a new swarm intelligence optimization algorithm - the Frigate Bird Optimizer (FBO). The algorithm is inspired by the unique flight and foraging behaviors of frigatebirds. Its optimization process is divided into two stages: The first stage simulates frigatebirds harassing other seabirds to snatch food, and the search direction and radius of individuals have randomness and uncertainty, which is conducive to global exploration; The second stage simulates frigatebirds observing large fish driving small fish to leap out of the water and preying on them, and individuals tend to gather in the optimal search direction. By simulating the behaviors of frigatebirds under different survival strategies, the algorithm achieves extensive global search in the first stage and fine-tuned local optimization by learning information in the second stage. To evaluate its performance, 46 functions in the CEC2014 and CEC2017 benchmark test sets are selected as objective functions and compared with 9 state-of-the-art meta-heuristic algorithms. The results show that the FBO algorithm has higher performance, excellent iterative optimization ability and strong robustness, and can be applied to different optimization domains.

Unlocking mode programming with multi-plane light conversion using computer-generated hologram optimisation

Abstract Programmable optical devices provide performance enhancement and flexibility to spatial multiplexing systems enabling transmission of tributaries in high-order eigenmodes of spatially-diverse transmission media, like multimode fibre (MMF). Wavefront shaping with spatial light modulators (SLMs) facilitates scalability of the transmission media by allowing for channel diagonalization and quasi-single-input single-output operation. Programmable mode multiplexing configurations like multi-plane light conversion (MPLC) utilise the SLM and offer the potential to simultaneously launch an arbitrary subset of spatial tributaries in any N -mode MMF. Such programmable optical processor would enable the throughput of space-division multiplexing (SDM) systems to be progressively increased by addressing a growing number of tributaries over one MMF and in this way meet a growing traffic demand – similarly to the wavelength-division multiplexing evolution path. Conventionally, MPLC phasemasks are calculated using the wavefront matching algorithm (WMA). However, this method does not exploit the full potential of programmable mode multiplexers. We show, that computer-generated hologram algorithms like direct search enable significant improvement compared to the traditional WMA-approach. Such gains are enabled by tailored cost functions with dynamic constraints concerning insertion loss as wellas mode extinction ratio. We show that average mode extinction ratio can be greatly improved by as much as ≈ 15 dB at the expense of a small insertion loss35
deterioration of < 3 dB. One particular feature of programmable mode multiplexers is the adaptability to optimised transmission functions. Besides conventional LP modes transmission, we employ our approach on Schmidt modes, which are spatial eigenchannels with minimum crosstalk derived from a measured transmission matrix

VLIK from Madrid to Vienna: the Search for a New Political Direction in the Liberation of Lithuania

The Supreme Committee for the Liberation of Lithuania (Vyriausiasis Lietuvos išlaisvinimo komitetas, VLIK), relying on its right to speak on behalf of the subjugated nation and its belief in the meaning of the Helsinki Accords, emphasised the importance of the Madrid conference for the liberation activities of Lithuania. One more aspect of the Final Act of the Conference on Security and Cooperation in Europe, specifically the territorial integrity principle applicable to the liberation process of the Baltic States, was raised in the Spanish capital. Starting in 1981, the VLIK sought to draw international attention to the situation of Lithuanian dissidents in the Soviet Union and drafted memoranda on the situation in Lithuania. After it was ascertained that there was no possibility to raise the case of Lithuania’s freedom at the United Nations, focus was shifted to the situation evolving in Europe. A permanent VLIK representative for maintaining contacts with the European Parliament (EP) was therefore appointed. In co-operation with the Lithuanian diplomatic service and political organisations, the VLIK operated consistently and saw the passing of an EP resolution on the situation in the Baltic States in 1983. Observing signs of a new political trend in the liberation process of Lithuania, the VLIK sought to ensure that the ‘passive position of non-recognition of the occupation of Lithuania’ would become ‘an active and effective campaign’. To this end, expanding the geographical scope of its political activities, the VLIK established and strengthened its representative offices in North and South America, Australia, and Europe. The earlier strategy of cooperation between Lithuanians in the free world and those in the occupied country remained. Having established its intention to restore the ‘execution of the sovereign powers of Lithuania’, VLIK urged political figures at the Vienna conference to hold ‘a broader campaign in Europe’.

Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization

When tackling large-scale multi-objective problems (LSMOPs), the computational budget could be wasted by traditional offspring generators that explore the search space in a nearly directionless manner, impairing the efficiency of many existing algorithms. To address this issue, this paper proposes a novel two-level large-scale multi-objective evolutionary algorithm called LMOEA-LGCS that incorporates neural network (NN) learning-guided cross-sampling for offspring generation in the first level and a layered competitive swarm optimizer in the second level. Specifically, in the first level, two NNs are trained online to learn promising vertical and horizontal search directions, respectively, against the Pareto Set, and then a batch of candidate solutions are sampled on the learned directions. The merit of learning two explicit search directions is to devote the employed NNs to concentrating on separate or even conflicting targets, i.e., the convergence and diversity of the population, thus achieving a good trade-off between them. In this way, the algorithm can thus explore adaptively towards more promising search directions that have the potential to facilitate the convergence of the population while maintaining a good diversity. In the second level, the layered competitive swarm optimizer is employed to perform a deeper optimization of the solutions generated in the first level across the entire search space to increase their diversity further. Comparisons with six state-of-the-art algorithms on three LSMOP benchmarks, i.e., the LSMOP, UF, and IMF, with 2-12 objectives and 500-8000 decision variables, and the real-world problem TREE demonstrate the advantages of the proposed algorithm.

Research on the A* Algorithm for Automatic Guided Vehicles in Large-Scale Maps

The traditional A* algorithm faces the challenges of low search efficiency and large node extension range in the field of path planning. These directly restrict the overall performance of the algorithm. In this study, we aimed to improve the search efficiency and path planning quality of the A* algorithm in complex and large-scale environments through a series of optimisation measures, including the innovation of weight design, flexible adjustment of the search neighbourhood, improvement of the heuristic function, and optimisation of the node selection strategy. Specifically, this study innovatively introduces the local obstacle rate as the core index of weight design, and it dynamically adjusts the weights according to the change of the obstacle rate during the node movement process, which effectively reduces the search space and significantly improves the search speed. At the same time, according to the real-time change of the local obstacle rate, this study dynamically adjusts the range of the search neighbourhood, so that the algorithm can choose the optimal search strategy according to different environmental information. In terms of the improvement of the heuristic function, this study adopted the diagonal distance as the benchmark for cost estimation, and it innovatively introduces the angle coefficient to reflect the complexity of path turning, thus providing the algorithm with a more accurate guidance for the search direction. In addition, this study optimises the node selection method by drawing on the idea of simulated annealing, which eliminates the need to calculate and compare all possible surrogate values during the node selection process, thus significantly reducing the running time of the algorithm. The results of the simulation experiments fully verify the effectiveness and practicality of the improved algorithm. Compared with the traditional A* algorithm, the improved algorithm achieved significant optimisation in terms of the average running time, the number of expansion nodes, and the path length, with the average running time shortened by 84%, the number of expansion nodes reduced by 94%, and the path length also shortened by 2.3%.

Improved sandcat swarm optimization algorithm for solving global optimum problems

The sand cat swarm optimization algorithm (SCSO) is a metaheuristic algorithm proposed by Amir Seyyedabbasi et al. SCSO algorithm mimics the predatory behavior of sand cats, which gives the algorithm a strong optimized performance. However, as the number of iterations of the algorithm increases, the moving efficiency of the sand cat decreases, resulting in the decline of search ability. The convergence speed of the algorithm gradually decreases, and it is easy to fall into local optimum, and it is difficult to find a better solution. In order to improve the search and movement efficiency of the sand cat, and enhance the global optimization ability and convergence performance of the algorithm, an improved sand cat Swarm Optimization (ISCSO) algorithm was proposed. In ISCSO algorithm, we propose a low-frequency noise search strategy and a spiral contraction walking strategy according to the habit of sand cat, and add random opposition-based learning and restart strategy. The frequency factor was used to control the search direction of the sand cat, and the spiral contraction hunting was carried out, which effectively improved the randomness of the population, expanded the search range of the algorithm, enhanced the moving efficiency of the sand cat, and accelerated the convergence speed of the algorithm. We use 23 standard benchmark functions and IEEE CEC2014 benchmark functions to compare ISCSO with 10 algorithms, and prove the effectiveness of the improved strategy. Finally, ISCSO was evaluated using five constrained engineering design problems. In the results of these problems, using ISCSO has 3.08%, 0.23%, 0.37%, 22.34%, 1.38% improvement compared with the original algorithm respectively, which proves the effectiveness of the improved strategy in practical application problems. The source code website for ISCSO is https://github.com/Ruiruiz30/ISCSO-s-code.

Boundary value problem of calculating ray characteristics of ocean waves reflected from coastline

A direct variational method for solving the problem of reflection of ocean waves ray paths from the coastline with given positions of the source and the point of registration is considered. It is shown that the original boundary value problem can be reduced to the direct search of stationary points of the functional. Information about the objective function in the area of solutions of the ray problem allows us to construct a systematic procedure for finding minima and saddle points. A feature of the proposed approach is the optimization of the ray reflection point along a given coastline.

Nonmonotone Spectral Analysis for Variational Inclusions

Gradient descent algorithms perform well in convex optimization but can get tied for finding local minima in non-convex optimization. A robust method that combines a spectral approach with nonmonotone line search strategy for solving variational inclusion problems is proposed. Spectral properties using eigenvalues information are used for accelerating the convergence. Nonmonotonic behaviour is exhibited to relax descent property and escape local minima. Nonmonotone spectral conditions leverage adaptive search directions and global convergence for the proposed spectral subgradient algorithm.

Mетод визначення зміни просторового положення об'єкта орбітального сервісу з невідомою формою

This paper presents a method for determining the pose of an on-orbit service object (target) with an unknown surface shape based on processing target surface point clouds. It is assumed that a point cloud is obtained using a sensor in the form of a lidar-based system onboard the service spacecraft. The algorithm of the method operates with a simplified description of the cloud; it uses only the coordinates of the cloud points without identifying any surface features. The idea of the method is as follows. From all cloud points obtained at a certain time instant, select points that are close to a certain degree to a given set of planes arranged in space in a certain way. From the point cloud corresponding to the next time instant, select points that are close to the same set of planes, but moved in space in a known way. By convention, let the arrangement of the projections of the selected cloud points onto the given planes be called a pattern of the intersection of the point clouds with the planes. By varying the displacement of the set of planes, maximize the coincidence of the intersection patterns of the first and second clouds of points. The degree of coincidence of the intersection patterns is characterized by a specified objective function whose arguments are target pose parameters. The target displacement parameters are found as the arguments of the objective function that maximize it. A variant of the objective function is proposed. A test example of the application of the proposed method is considered. A global optimization method known as the direct search method was used to find the arguments of the objective function. Test calculations were performed, and they confirmed the workability of the algorithm and determined its scope of applicability. The computational burden was not considered: the goal was to verify the workability of the method in principle. The advantage of the proposed method is its ability to determine a change in the pose of an object with an unknown surface shape. The proposed method may be considered as a source of observation data for a filtering procedure when estimating the parameters of the relative motion of a target with an unknown surface shape.

Solar neutrinos in cryogenic detectors

AbstractCoherent elastic neutrino-nucleus scattering (CE$$\nu $$ ν NS) poses an irreducible background in the search for dark matter-nucleus elastic scatterings, which is commonly known as the neutrino floor. As direct dark matter search experiments keep improving their sensitivity into so far unexplored regions, they face the challenge of approaching this neutrino floor. A precise description of the CE$$\nu $$ ν NS signal is therefore crucial for the description of backgrounds for future DM searches. In this work we discuss the scenario of detecting neutrinos in low-threshold, high-exposure cryogenic solid state experiments optimized for the search of low-mass dark matter. The energy range considered is completely dominated by solar neutrinos. In absence of any dark matter events, we treat solar neutrinos as the main signal of interest. We show that sensitivity to the flux of neutrinos from different production mechanisms can be achieved. In particular we investigate the sensitivity to the flux of pp and $$^{7}$$ 7 Be neutrinos, as well as CNO neutrinos. Furthermore, we investigate the sensitivity to dark matter signals in the presence of a solar neutrino background for different experimental scenarios, which are defined by three parameters: the target material, the energy threshold and the exposure. We show that experiments with thresholds of $$\mathcal {O}$$ O (eV) and exposures of $$\mathcal {O}$$ O (tonne-years), using $$\hbox {CaWO}_{4}$$ CaWO 4 or $$\hbox {Al}_{2}\hbox {O}_{3}$$ Al 2 O 3 targets, have discovery potential for dark matter interaction cross sections in the neutrino floor.

Realizing linear-polarization-decoupled quasi-perfect absorption through mirror-symmetric QR-code metasurfaces.

Metamaterial absorbers (MAs) with irregular structures facilitate the attainment of unique absorption properties, leveraging the extensive geometric freedom. However, a challenge arises from the fact that polarization-dependent spectra do not coincide with cross-polarization. In this study, we introduce a MA featuring a mirror-symmetric quick response (QR)-code structure to achieve linear-polarization-decoupled absorption characteristics. We employ a direct binary search algorithm to reverse design the MA structure by specifying absorptivity for eigen-polarization states. Moreover, the absorptivity for arbitrary polarizations can be predicted through linear superposition of the two eigen-polarization states, opening up avenues for investigating polarization-controlled metasurfaces and metamaterials.

Guideline for rehabilitation assessment and treatment of adolescent idiopathic scoliosis (2024 edition)

Scoliosis is a complex three-dimensional deformity of the spine that affects the growth of the spine in adolescent, leading to a heavy burden on families and society. According to the guidelines for the treatment of scoliosis, most adolescent idiopathic scoliosis (AIS) requires rehabilitative intervention. So far there has been a lack of scientific, evidence-based, and standardized rehabilitation assessment and treatment for AIS in China. Therefore, in order to promote the standardization of rehabilitation assessment and treatment for AIS, Chinese Society of Physical Medicine and Rehabilitation organized the domestic experts in multiple disciplines such as rehabilitation medicine, orthopedics, pediatric surgery, radiology, evidence-based medicine, etc., who has conformed to the principles of scientificity, safety, efficacy and advancement to propose the 19 recommendations of 8 categories using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) and Reporting Items for Practice Guidelines in Healthcare (RIGHT). Through the steps of literature search, evaluation, and establishment of direction and intensity of recommendation opinions, 19 recommendations were formed, involving AIS screening, assessment and treatment.

The Interplay Between the Built Environment, Health, and Well-Being—A Scoping Review

Objective: This scoping review aims to investigate the complex interplay between the built environment, health, and well-being and to provide a comprehensive overview of the knowledge needed for crucial health and well-being enhancement in cities. Method: A scoping review method has been chosen using four databases. The first sample was reduced from 2819 papers to 71 papers by implementing exclusion criteria, snowballing, and direct searches to find a relevant final sample. Results: Built environmental elements such as the neighborhood, urban architecture, activities, public spaces, greenery, lights, safety, aesthetics, and amenities were identified to be impactful on health and well-being outcomes. The two-way association of each environmental factor and its criteria with specific types of health and well-being issues such as cancer, cardiovascular diseases, stress, etc. was determined to identify solutions and ways for improvement. Conclusions: This scoping review provides a comprehensive overview of the intricate interplay between the built environment, health, and well-being. By synthesizing existing knowledge of the built environmental factors, it explores the basis for evidence-based strategies to enhance health and well-being. By illuminating theoretical knowledge of the built environment on health and well-being, our findings will provide a deeper foundation of sources and practical insights for related fields.

Can calf massage prevent deep vein thrombosis? A systematic review

Background: Deep vein thrombosis (DVT) is a condition in which blood clots form in deep veins, usually in the legs. The causes of thrombosis are divided into two, namely those related to immobilization and those related to hypercoagulation, both of which are related to genetic factors and acquired risk factors. DVT can be prevented by preventing recurrent DVT, patients must continue to exercise, and provide compression therapy and anticoagulation therapy with the right duration. Purpose: To evaluate the efficacy of calf massage techniques in lowering the risk of deep vein thrombosis (DVT). Method: The research design used is a systematic review method with article selection referring to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The article search stage is carried out systematically using keywords written manually or using the search facility available in each database. The keywords used in the article search are (massage OR therapy OR pressure) AND (calf OR foot) AND (Deep Vein Thrombosis (DVT)). Article searches are carried out electronically to filter relevant articles. Articles are sourced from the Google Scholar, PubMed, Science Direct, and ProQuest database search engines. The inclusion criteria for this literature review were articles published in the last ten years, namely 2013-2023, articles in Indonesian and English, interventions given to patients at risk of deep vein thrombosis (DVT), interventions using calf massage either with or without tools, randomized controlled trials, experimental/quasi-experimental, and full manuscripts available. Results: Calf massage has been shown to be effective in reducing the risk of deep vein thrombosis (DVT). This is shown based on five journals that have been analyzed that there is a significant decrease in the risk of DVT in the results of the experimental group with the control group and there is only one journal that states that the use of foot pumps does not significantly reduce the incidence of DVT in patients undergoing total knee arthroplasty (TKA) with edoxaban thromboprophylaxis. Conclusion: Massage interventions carried out using tools or without tools with various versions and methods have a positive impact on reducing the risk of DVT.

Solving higher dimensional expensive black box global optimization problems using sparse directional search on surrogates

We present a new algorithm Directional Optimization Search with Surrogate (DOSS), for optimizing problems with box constraints and a computationally expensive black-box objective function. DOSS is a radial basis function (RBF) based method that mainly focuses on higher dimensional and computationally expensive objective functions that can be multimodal. DOSS introduces three new techniques not previously used in earlier RBF algorithms, including using a combination of the coordinates knowledge level, fewer initial sampling points, and the surrogate’s gradient information. Numerical results on a test set including 14 test problems with 36, 48, and 60 dimensions show that DOSS outperforms two recently published algorithms RBFOpt and TuRBO, and earlier RBF algorithms such as DYCORS. TuRBO is a Gaussian process based optimization algorithm, which outperformed earlier state-of-the-art methods. DOSS algorithm also has a good performance on real-world optimization problems, including robot pushing and rover trajectory planning problems. Almost sure convergence for the DOSS algorithm is also proven in this paper. An implementation of DOSS is available at https://doi.org/10.5281/zenodo.13731558.

Congenital enteropathies in children: An algorithm for differential diagnosis and therapeutic management. Case report

Infant diarrhea may be caused by infectious, allergic, or surgical diseases. A distinct group comprises congenital enteropathies, a heterogeneous group of genetically determined diseases, including defects in the absorption and transport of nutrients and electrolytes, impaired differentiation of enterocytes and enteroendocrine cells, and defects in the modulation of the intestinal immune response. The final diagnosis of enteropathies is based on the results of molecular genetic tests; however, a detailed assessment of clinical and medical history data and the results of laboratory and instrumental studies enables quick diagnostic search direction and choice of the correct therapeutic tactics. The article considers the algorithm for the differential diagnosis of congenital diarrhea, presents a clinical case of congenital osmotic diarrhea due to disaccharidase insufficiency, and considers the difficulties of the diagnostic search and approaches to diet therapy. The prospective of using a fructose-based formula, Galactomin-19, in the diet therapy of glucose-galactose malabsorption, is presented.

Regional distribution of anaplastic thyroid cancer in the United States

Abstract Introduction/Objective Anaplastic thyroid cancer (ATC) is an aggressive rare malignancy found in less than 2% of thyroid cancer patients. Its low occurrence rate presents challenges for collecting sufficiently large cohorts at a single institution, making statistical analysis about the disease’s spread, geographical distribution, and prevalence difficult. Nationwide data lakes such as Oracle EHR Real-World Data (ORWD, formerly Cerner Real World Data) offer a boost in cohort sizes and an opportunity to study ATC’s geographical distribution and assess regional differences. Methods/Case Report We searched ATC distribution across US regions defined by ZIP codes recorded in ORWD using multiple coding parameters, including ICD9, ICD10, and SNOMED as well as direct text searches for “anaplastic thyroid carcinoma”. We analyzed the geographical associations defined by ORWD (region) with sex, race, and age of ATC onset using the Fisher’s exact test. We combined 10 regions into 4 representative groups because of the small sample size. The groups are West Coast including the Rockies, Midwest from North Dakota to Texas, East Coast, and New England. Results (if a Case Study enter NA) Search for ATC condition codes in ORWD produced only 200 region-coded patient records across the US using multiple methods to try and identify cases. The mid-section of the US and coastal regions shows the highest numbers of ATC patients while New England and South regions show the lowest. While more women have ATC overall, the East Coast group has significantly more males (p value = 0.04). ATC is a predominantly white disease (79.8% overall) with black population increasing in East Coast group and other races (Asian/Undeclared) in West Coast (p-value < 0.001). There appears to be no significant association between age of ATC onset and the geographical groups. Conclusion The data shows geographic differences in distribution of ATC although this preliminary analysis neither explains the nature of these differences nor allows for a clearer view. The rarity of the disease complicates data analysis. This study was also limited by number of cases retrievable from the database itself and lack of granularity in coding available for ATC to find cases of interest, highlighting the difficulty of accurate tumor classifications in large data lakes. Further research into geographical distribution and environmental factors (radioactivity, pollution) of thyroid cancer using more advanced tools, such as GeoSpark, are planned.

Organ Symphony "Noёl" by Paul de Maleingreau and the Christian Mystery of Christmas

The purpose of the work is to reveal the poetic-intonational spiritual-symbolic aspects of the organ symphony "Noël" by P. de Malengro in the direction of stylistic and spiritual-philosophical searches of the Franco-Belgian culture of the second half of the 19th and early 20th centuries. Research methodology. An interdisciplinary, genre-stylistic, historical-cultural approach was essential for this work, allowing to explore the factors contributing to the discovery of the spiritual-semantic specificity of the concept of "symphony" in all its variety of meanings. The scientific novelty of the work is determined by the introduction into musicological use of materials from the organ symphony "Noël" by P. de Malengro, the poetics of which was formed at the intersection of the artistic, spiritual and musical traditions of the Northern Renaissance and French modernism. Conclusions. An overview of the use of the term "symphony" in the cultural-historical and spiritual practice of different eras testifies not only to the breadth of its semantic and applied meanings, but also to the presence of general semantic indicators, in accordance with which a symphony ultimately implies a certain integrity in which merge, different numerous components are combined. A symphony as a musical work is an equally complex and comprehensive concept that represents the most diverse "models" of this genre. The organ symphony "Noël" by P. de Malengro represents the typology of the "spiritual symphony". Its expressiveness, related to the biblical mystery of Christmas, is strengthened by the composer's appeal also to the masterpieces of the Northern Renaissance (Rogir van der Weyden and the van Eyck brothers). Symphony "Noël" is a free composition (4 parts) of the suite-variation type, a "symphony-mystery", the thematic basis of which is Gregorian chants, as well as the corresponding principles of their texture and mode-intonation development (monody, heterophony, various forms of polyphonic development, reproduction of the spiritual and vocal practice of discanting of the Notre Dame School). The poetics of such a "symphony-mystery" is significantly supplemented by an appeal to the timbre qualities of the so-called "symphonic organ", the universalism of performance, dynamic and timbre-intonation capabilities of which turned out to be literally correlated with the universalism of the symphony genre as such.

Odonata assemblages at two urban wetlands in West Bengal, India

Adult Odonata represent valuable indicators of natural habitat quality, ecosystem integrity, and pollution status in freshwater ecosystems. This study aimed to investigate how varying climatic condition, sub-habitat types, and physicochemical ambience of wetlands impact Odonata diversity. We compared the abundance and richness of Odonata in two urban wetlands and their surrounding areas: Purulia Sahebbandh (PS) located amidst Purulia town and faced higher anthropogenic threats, and Adra Sahebbandh (AS) located in a slightly remote location. Sampling was conducted over a period of one year (December 2018 to November 2019) using the Pollard walk method and direct search technique. A total of 47 Odonata species were recorded, including 33 species of dragonflies (Anisoptera) and 14 species of damselflies (Zygoptera). AS exhibited significant higher overall abundance compared to PS, with the monsoon season showing the highest abundance in both wetlands. Water-associated vegetation zones harbored the highest species richness. Species richness and abundance significantly differed among most of the sub-habitat types. Physicochemical factors such as pH, electrical conductivity, salinity, nitrate and phosphate concentrations, and dissolved oxygen significantly influenced Odonata abundance and species richness. The urban location, pollution load, and lack of natural vegetation in PS’s surrounding areas likely contributed to the lower Odonata abundance. Implementing sustainable management measures for wetlands and their surroundings is crucial to enhancing ecosystem services and supporting Odonata populations.