Line Route Research Articles

A Novel Toolbox for Induced Voltage Prediction on Rail Tracks Due to AC Electromagnetic Interference Between Railway and Nearby Power Lines

AC electromagnetic interference (EMI) between railway and nearby power lines causes serious concerns about railway personnel and equipment safety. The AC EMI analysis is usually conducted by complex computer simulation software to estimate induced voltages on rail tracks, and induced voltages can be further used for safety evaluation. However, such analysis becomes especially difficult at the transmission line routing stage when only limited information of railway and power lines is available. To overcome this challenge, a novel regression model-based toolbox is developed in this paper to predict induced voltages on rail tracks. To develop this toolbox, the dataset acquisition is critical due to very limited research done in this area. The novel dataset is produced by our newly developed AC EMI study method, where variations of several essential factors are considered, including the power line's current, the separation distance between power lines and railway, the ballast resistance, and the length of rail tracks. Two models are eventually chosen to predict induced voltages: “Gaussian process regression” with “matern 3/2” kernel function; and a tri-layered “neural network” model with “sigmoid” activation function. To improve the accuracy, hyperparameters of the regression algorithms are optimized by Bayesian optimization. The toolbox is accurate and easy-to-use, and is currently in use by Manitoba Hydro, Canada.

OVERVIEW OF FACTORS AFFECTING THE ESTIMATION OF LIGHTNING SHIELDING PERFORMANCE OF OVERHEAD TRANSMISSION LINES

This paper examines the risk of lightning stroke to overhead transmission line. The estimation procedure for the lightning performance of overhead power lines is based on the selected lightning attachment model, available lightning parameter statistics, the transmission tower design and voltage levels, type of overvoltage and other characteristics. In this paper the overview of factors affecting the estimation of lightning shielding performance of overhead transmission lines was performed. Among the factors that can affect the estimation accuracy, one can list insufficiently accurate data on the ground flash density in the area of interest and lack of complete data on statistical distribution of lightning current magnitudes. The paper shows that the influence of wind on the increase in the horizontal exposed distance of the phase conductor is not also taken into account. In this research traditional electro-geometric model was used for estimation of lightning performance of 220 kV overhead power line. Results obtained suggest that swing of suspension insulator strings caused by strong winds may lead to increased risk of lightning shielding failure during thunderstorm. Calculation performed for 3 kA lightning current magnitude shows that at swing angle equal to –1 degree, the horizontal unprotected distance of phase conductor increases by 3.1%, that corresponds to 5.240 m uncovered width. When the swing angle is increased to –5 degree, the uncovered width is increased by 15.8% that corresponds to 5.885 m uncovered width. It is proposed that an increase in the risk of lightning shielding failure as a result of wind load can be accounted by applying an appropriate correction factor in expressions for calculation of shielding failure rate, shielding failure flashover rate, etc. Proposed correction factor should account frequency and strength of wind in the area of transmission line route and depend on transmission line voltage level and tower design. Further efforts should be focused on obtaining and justifying the numerical values ​​of this correction factor.

Experimental study on the galloping characteristics of single ice-coated transmission lines under oblique flows

Galloping of ice-coated transmission lines is occasionally observed under oblique wind directions. However, most current investigations on the galloping mechanisms are for flow perpendicular to the span of the transmission lines. In order to address this gap, this research studies the galloping characteristics of ice-coated transmission lines under oblique flows based on wind tunnel tests. The wind-induced displacement of an aero-elastic iced-coated transmission line model was measured with a noncontact displacement measurement equipment in a wind tunnel at different wind speeds and directions. The results show that galloping is characterized by elliptical trajectories and negative damping, which is more likely to occur under oblique flows than the direct flow (0°). At 15° wind direction, a galloping in vertical direction was observed at wind speeds above 5 m/s. At 30° wind direction, galloping was observed over the entire range of the tested wind speeds. Moreover, the galloping amplitudes under oblique flows are observed to be larger than that at the direct flows. Consequently, when the wind direction between the major winter monsoon azimuth and the lateral direction of transmission line route is between 15° and 30°, appropriate anti-galloping devices are highly recommended in practice.

Walking school bus line routing for efficiency, health and walkability: A multi‐objective optimisation approach

AbstractWalking School Bus (WSB) has been recognised as an innovative solution to promote walking to school, bringing a wide spectrum of benefits, including: health benefits from the physical exercise, social skills and traffic reduction. To facilitate the success of WSB, one vital element is its route planning, which directly affects the catchment for the service and the realisation of all the potential benefits. Previously, time has been the only factor that has been considered in WSB routing problems. Other important factors including air quality, safety and comfort will also be considered in this paper. Air quality along a WSB route is important to help realise the health benefits of walking. Traffic safety has been the biggest barrier to walking to school and must be addressed in planning a WSB route. Ensuring children have an enjoyable and comfortable experience is vital for the sustainability and success of WSB. A walking network is introduced to enable modelling pedestrian movements in detail, including walking movements on different sides of the road and crossing movements. This approach enables detailed route‐based analysis to assess the localised effect of air quality on pollutant dose. We define walkability as a measure of children's needs in safety and comfort, which can also be assessed in detail on each route. We propose a multi‐objective optimisation model to generate efficient WSB routes with three objectives representing the potential benefits of WSB: (1) to minimise time; (2) to minimise pollutant dose; and (3) to maximise walkability. We apply our model to a selected school in Bradford in the UK, generating three WSB lines following efficient routes. These lines go through a predetermined sequence of ‘WSB Stops’, with the final stop as the school. All children within the catchment area will be able to join a WSB within 1–2 min walk from their home to the nearest stop. Our multi‐objective WSB route planning model is highly transferable to any selected school in any WSB targeted area. Planners will be able to select a combination of WSB lines to offer, based on the requirement of coverage area and resource availability.

Smart Steps Towards Sustainable Transportation: Profitability of Electric Road System

The global average temperature has increased by about 1°C compared to pre-industrial times and the temperature increase continues. The effects of climate change are already affecting living conditions on Earth. Through the Paris Agreement, the countries of the world have committed to limit global warming to below 2°C compared to pre-industrial times and to make efforts to keep the increase below 1.5°C. The transportation sector accounts for about 15% of Turkey's greenhouse gas emissions, and more than three-quarters come from diesel fuel. Already in ten years, transport emissions must be reduced by 70% according to the national targets. It is about both reducing emissions by 2030 but also ensuring that we are completely emission-free by 2050. The vast majority of emissions in the transport sector come from road traffic. Electric vehicles have emerged as the most promising solution to energy and environmental security concerns. However, a major constraint for electric vehicles has been the limited range and fast charging capacity. Various electric road technologies have great potential to reduce dependence on fossil fuels, reduce greenhouse gas emissions, reduce air pollution, and reduce noise in urban areas. This article proposes to discuss the inductive and conductive charging system and required system configuration in the concept of electric roads for electric buses. The model solution algorithm is designed and it is validated on the E-bus route R40 in Kayseri City, Turkey. It is found that if an electric road system is used instead of a diesel bus for a bus line route of 35.5 km, it will amortize itself in 10 years.

Forecast combination approach with meta-fuzzy functions for forecasting the number of immigrants within the maritime line security project in Turkey.

In this study, forecasting the number of immigrants on the Turkey's maritime line for use in a national security project carried out by Turkish Government within the scope of fight against uncontrolled immigration is discussed for the first time. Handling with the immigration problem is one of the biggest concerns of Turkey as unsupervised immigration can adversely affect the demographic and economic structure of the country. Precautions are needed as the short-, medium- and long-term impacts of undetected immigrants on the country's ecosystem are unpredictable, but due to the uncertainties inherent in immigration, the cost of using government resources such as patrol vehicles to capture undocumented immigrants can be extremely high. In order to both minimize the expenditure problem and keep immigration under control by providing a proper scan, forecasting the number of immigrants on the maritime line route is seen as an important problem and studied by probabilistic and non-probabilistic models. Since the data for 2020 and 2021 could not be attained yet due to COVID-19, in order to obtain forecasts and compare actual observations for 2019, which is the primarily focus of the research in this study, the dataset of interest on the number of daily immigrants between years 2016 and 2019 is obtained from Turkish Coast Guard Command within Ministry of Interior of Republic of Turkey. To obtain the most accurate forecasts, seven distinguished forecasting methods, from simple to complex, are implemented. Then, the forecast combination approach with meta-fuzzy functions which combines all methods is proposed. Consequently, the forecasting results are acquired and evaluated by using R. The evaluation of the results is made by using widely considered measurement accuracy metric root mean square error. According to the final assessments, the proposed approach gives more accurate forecasting results for the expected number of immigrants on the Turkey's maritime line and these results become an input to the national security project.

THE TRAVEL TIME PERFOMANCE ANALYSIS OF THE COMMUTER LINE TRAIN (KRL) (CASE STUDY: THE COMMUTER LINE TRAIN BLUE LINE CORRIDOR, BEKASI - JAKARTA KOTA)

On the commuter line trains (the KRL), the Bekasi-Jakarta City Blue Line corridor has a buildup of passengers so that it can reduce travel time. Based on the regulation of the Minister of Transportation No. 63 of 2019 on Minimum Service Standards for Transportation of People by Train, the maximum delay tolerance for urban trains is 15 minutes from the total scheduled travel time. The method used is the depiction of working charts and calculations of statistical analysis with standard deviation in SPSS application version 26. The difference in the comparison of scheduled travel times with those in the field is determined by using Microsoft Excel for Windows version 2015. The performance of Blue Line routes (the KRL) was reviewed based on travel time using the SPSS (Statistical Package for the Social Sciences) analysis tool version 26. The standard deviation results using the SPSS KA 1341 analysis tool have a higher deviation standard result of 10.82, which means that the train has a higher travel time delay than the train of PT Kereta Commuter Indonesia (KCI), which experienced an average delay of 4 minutes. The cause of the delay consists of several factors, including the queue of passengers who want to get into the train and the fact that traffic on the blue line KRL route is congested. Because it has to alternate with intercity trains, and the KRL must wait.

Разработка метода определения структуры мини-сети с учетом оптимальных маршрутов линий электропередачи на территории с резко неоднородным ландшафтом

This paper presents a method for determining the optimal structure of an isolated electrical network, taking into account the geographical features of the area in which it is located. A distinctive feature of the method is the removal of restrictions on the number of equivalent routes of power transmission lines sought, with subsequent filtering of the routes, taking into account technological and technical limitations. Thus, the obtained method can be used to organize microgrids in areas remote from the Unified National (All-Russian) Energy Grid with distributed generation and load.

Influence of hydrogeological and hydrological factors on stability of railways in areas of permafrost distribution (example of Far East Road, Russia)

In 2019, the Institute of Permafrost of the Siberian Branch of the Russian Academy of Sciences and the Northwest Institute of Eco-Environment and Natural Resources of the Chinese Academy of Sciences concluded the agreements on joint research work. They decided to study the evolution of frozen soils at the base of roads and the territory adjacent to them, as well as to justify a set of measures to stabilize the permafrost situation. The works provide the study of the reaction of permafrost along the routes of railway lines in Russia and China. In Russia, the parties are examining in detail individual sections of the Far Eastern and Trans-Baikal railways. We present the results of surveys on one of these sections: a segment of the track dedicated to the Tynda station of the Far Eastern Railway. The object of research is very indicative from the point of the need to assess the dynamics of geocryological conditions in the strip of long-term operated linear structures. Here, the deformations of the roadbed have been manifested almost since the end of its construction (1974). Despite the implementation of several technical solutions in the form of cooling structures aimed at maintaining the soil temperature at the base of the structure in a frozen state, at present, the road is still subject to deformations. According to the current research results, it was revealed that the main reason for their occurrence is the flooding of the territory due to both natural and anthropogenic factors.

RESEARCH OF THE SEA PASSENGER PORT INFRASTRUCTURE MODERNIZATION TO SOLVE THE PROBLEM OF FORECASTING DEVELOPMENT, TAKING INTO ACCOUNT THE INFLUENCE OF THE EXTERNAL ENVIRONMENT

The efficiency of operation and interaction of “sea ferry/cruise company-sea passenger port-land transport infrastructure” systems directly depends on the dynamic influence of the external environment, which today determines the transition from deterministic models of decision-making to probabilistic ones. These changes on the basis of current trends in the industry in the form of the introduction of large cruise and ferry ships create the need to form a decision- making system for the reasonable modernization of infrastructure for the heads of ports and terminals. It is necessary to systematically modernize both the berthing infrastructure and change the internal processes of passenger handling in the terminal. The problems of forecasting the development of seaports in connection with the gradual recovery of passenger traffic, caused by a long period of restrictions due to COVID-19, are considered in the paper, as the first priority is the resumption of the route networks of the sea regions, which provide local passenger mobility. Based on the investigated models of ports and terminals evolution (Anyport model, Three Generations model, Workport model) it is revealed that today it is necessary to evaluate possible predictive scenarios of port development. The necessity of having the tools allowing to operatively analyze the situation in the sphere of sea ferry transportation and to model the scenarios of port congestion has been revealed and proved. The approach to estimate the variants of berths loading at simultaneous call of several big cruise vessels on the basis of models of mass service systems for subsequent estimation of infrastructure is considered in the paper. The object of the research is the Baltic Sea region and existing routes of cruise and ferry lines. A new theoretical partitioning of the region and sea passenger ports into four sections is proposed. The systematic analysis of all existing cruise and ferry line routes in each area has been carried out; data on cruise and ferry ship size, passenger capacity, average ticket price, and distance between terminals on the route have been presented. On the basis of the formed approach a new digital dynamic route map that allows both to investigate the current state of the route network and to estimate the possible changes is built. On the basis of the received data it is proved that the best development of passenger sea ports and terminals infrastructure is observed in the segment between the countries of Russia-Estonia-Finland-Sweden. Presented sea terminals have successfully realized the possibility of simultaneous reception of two big cruise vessels and modernized infrastructure during the period of restrictions on the reason of COVID-19, which corresponds to the formation of new points of growth in the Baltic Sea region, taking into account recovery of route networks. The generated big data on route networks accurately define the current state in the sphere of sea ferry/cruise transportation and they should be used in new digital simulation transport models when modeling different variants of sea passenger port operation, both at the stage of short-term planning and when solving the group of questions of development forecasting, which is especially relevant in the situation of competition between terminals for passenger traffic.

Improving Energy Efficiency of Wireless Sensor Networks through Topology Optimization

- Relevance of the field of wireless sensor networks (WSNs) is increasing, and one of the most pressing challenges is in energy usage. This makes it a resource restraint type network for wireless sensor nodes that contain small unchangeable battery. Sensor network design has been influenced by and depends on the application by factors such as scalability, power consumption, environment etc. Most of the energy is used for communications among the three energy-saving activities: sensing, processing and communication. In this paper, an energy efficient (energy conserving) routing protocol called Wireless Sensor Network Energy Reduction Routing Coordinate Algorithm (WSNERRCA) is proposed. This provides a more efficient energy consumption pattern in WSN, by using eight straight line routing coordinate to sink. It transmits data within nodes transmission range (single-hop) and multi-hopping along routes (coordinates) thereby saving energy and optimizing delivery. The energy-model is simulated using NS-2 and the residual energy computed with the aid of AWK programming language coding. This model out-performed its counterpart (EEEWSNMIA) by 6%, as seen in recent research work published by Elsevier based on the criteria of conserving the highest energy of the sensor network with a hundred and twenty nodes while upholding optimally the QoS factors.

Equivalent Magnetic Network Modeling of Dual-Winding Outer-Rotor Vernier Permanent Magnet Machine Considering Pentagonal Meshing in the Air-Gap

Thedual-winding outer-rotor Vernier-permanent-magnet (VPM) generator, which possesses two-phase-windings inserted in the stator core with two slot levels of shallow and deep and saturable tooth-tips with narrow regions, has already been presented and studied for the traffic-enforcement-camera applications. The flux lines routes in this VPM generator have a complex pattern because of existing flux modulation poles, deep slots and fringing and leakage fluxes in different parts. Hence, the accurate analytical modeling of this special machine requires an advanced method. To fulfill this aim, equivalent-magnetic-network (EMN) model of the VPM generator is extracted in this article by combining reluctance-network-model and magnetic-equivalent-circuit. simpler mathematical equations and lower computational burden are advantages of the proposed EMN model in comparison with finite-element (FE) model. The method of finding the rotor position based on the region selection and considering the effect of the slot permeances and magnetic saturation under both no-load and on-load operating conditions are the other novelties highlighted. Also, especial pentagonal-shape meshes with unequal sides’ lengths and angles are proposed for the air-gap meshing, which can effectively model the complex flux routs. Test results and FE simulations are used to validate the accuracy of the developed EMN for the investigated VPM generator.

A Hybrid Josephson Transmission Line and Passive Transmission Line Routing Framework for Single Flux Quantum Logic

The single flux quantum (SFQ) logic family is a novel digital logic as it provides ultrafast and energy-efficient circuits. For large-scale SFQ circuit design, specialized electronic design automation (EDA) tools are required due to the differences in logic type, timing constraints, and circuit architecture, in contrast to the Complementary metal–oxide–semiconductor (CMOS) logic. In order to improve the overall performance of an SFQ circuit, an efficient routing algorithm should be applied during the layout design to perform accurate timing adjustment for fixing hold violations and optimizing critical paths. Thus, a hybrid Josephson transmission line and passive transmission line routing framework is proposed. It consists of four main modules and an exploration of the potential timing performance based on the given layout placement. The proposed routing tool is demonstrated on seven testbench circuits. The obtained results demonstrate that the operating frequency is greatly improved, and all the hold violations are eliminated for each circuit.

Improving the Criteria for Transmission Line Routing beyond the Techno-Economics: The Case of Afghanistan

It is not always the technical, financial, and environmental aspects of power projects that decisions are based on. There are many other political, social, and local issues shaping the decision-making processes. This research shows how political and social issues challenged the decision-making process of a high-voltage transmission line routing and how to avoid such unwanted consequences in similar projects. Our insights reveal the importance of risk, conflict, and stakeholder management techniques and strategies in successfully delivering power projects. When planning large energy projects, it is of utmost importance to engage and consult stakeholders, especially direct recipients, civil society, political parties, people’s representatives, and experts, in addition to the techno-economic considerations. Finally, it is suggested that there should be an authority at the country level responsible for deciding on routing, siting, prioritizing, and the strategic planning of power projects.

Power Flow Modeling of Multi-Circuit Transmission Lines

To reduce the allocation of land for the construction of electric power facilities, it is possible to leverage multi-circuit overhead transmission lines (MCTLs), in which the conductors of several circuits of different voltage classes are placed on the same tower. The unique features of the arrangement of conductors on MCTL towers cause unequal inductances and capacitances of different phases. In addition, there are significant mutual electromagnetic influences on the line circuits. To account for these factors, it is advisable to model the power flow of electric power systems equipped with MCTLs using the phase frame of reference. On the basis of such models, it is possible to determine the power flows while taking into account lateral and transverse asymmetries and to analyze electromagnetic safety conditions along the routes of multi-circuit transmission lines. We proposed a technique for modeling power flows and electromagnetic fields of multi-circuit power transmission lines, in which conductors of several circuits of different voltage classes are placed on the same tower. The methodology is based on the application of phase coordinates, which are the most natural description of three-phase power systems. The method is versatile enough to be applied to solving the specified problems for MCTLs of different designs. The article presents the results of research aimed at developing a method for modeling MCTL power flows. The results of modeling power flows of an electrical network including a three-circuit power transmission line are presented. The practical use of the models developed by the authors will make it possible to make well-grounded choices regarding the options for the use of multi-circuit power lines.

A Method for the Identification of Critical Interstop Sections in Terms of Introducing Electric Buses in Public Transport

Among the activities that cities are taking to reduce the emissions of harmful substances emitted by conventional engine-powered vehicles is replacing the fleet with electric vehicles in public transport that can operate in urban areas. Fleet conversion is a process in which one of the decisions that must be made is the choice of lines that should be served in the first place by electric buses. Due to the specificity of the battery charging process, the routes of lines serviced by electric vehicles should run through sections that are as little exposed to disruptions as possible, which can adversely affect the travel time of these sections. The main goal of the article was to develop a method that supports the search for bus lines that are characterized by the highest level of reliability and punctuality and therefore also by the stability of the travel time between stops. The proposed method makes it possible to indicate critical interstop sections that have the greatest impact on the sensitivity of the line to disturbances. It was assumed that the more critical sections of the route, the greater the risk of bus delay, which may be disadvantageous in the case of electric vehicles due to the need to reach the battery charging station in time. The method was implemented on the example of selected lines in the Upper Silesian region (Poland) for data covering four years (2016–2019). The proposed approach allowed for the development of the ranking of lines, corresponding to the order in which the conventional fleet should be changed to electric.

Transmission line route planning based on AHP-ACO algorithm

ArcGIS software is used as the geographic information collection and analysis platform for transmission line route selection. Considering the influencing factors such as line length, landform, geology, ice area, transportation, construction, operation and local planning, the comprehensive quantitative cost value of the line is obtained by analytic hierarchy process (AHP). Combined with Ant Colony Optimization (ACO) and Python language, an automatic search model of transmission line path is developed. Selecting the local area with complex terrain in Guizhou, the algorithm simulation is carried out to verify the validity of the model. The results show that the model improves the search efficiency of transmission lines and provides a reference scheme for the planning of transmission lines in my country.

Incremental constraint-based reasoning for estimating as-built electric line routing in buildings

This article addresses the augmentation of existing building models by a priori not observable structures such as electric installations. The aim is to unambiguously determine an electric network in an incremental manner with a minimum number of local measurements, e.g. using wire detectors, by suggesting the next measurement. Different reasoning strategies, e.g. utilizing graph-theoretical algorithms, have been presented and tested based on a hypothesis which is generated using Mixed Integer Linear Programming (MILP) while incorporating standards regarding the installation of electric wiring and findings from previous measurements. The presented method has been successfully applied on simulated and real-world buildings, it saves up to 80% of the necessary measurements compared to an exhaustive verification of the whole existing electric network, and paves the way for efficiently extending existing models, e.g. GIS models, with information on hidden utilities. This opens up new opportunities to model further infrastructures, e.g. water pipes, in future research.

Combined Districting and Main Line Routing—A Method to Implement a Basic Drinking Water Supply Infrastructure in Informal Settlements

The upgrading of large informal settlement areas takes place in sections for technical, economic and social reasons. On one hand, planning is faced with the challenge of taking individual structural and social conditions into account when dividing up the districts. On the other hand, the routing of the mains of a pipe-based infrastructure (water supply) must be selected in the context of the entire area under consideration and integrated into a superordinate network layout. In this paper, a method that combines these contrasting approaches is presented. Potential district boundaries are identified based on existing infrastructure and development patterns, as well as considering the routing requirements of a piped drinking water supply. Thereby, social factors can be considered in the decision-making process. Subsequently, an area subdivision is performed by a recursive partitioning algorithm. The choice and combination of different compactness measures influence the shape of the districts and, thus, the spatial organization. The geodetic height is integrated into the algorithm via an admissibility condition, so that the subsequent development of a district can take place via one pressure zone. By means of variations in the input parameters of the zoning, different planning levels can be generated, which finally lead successively to the upgrading of an informal settlement area.

A new hybrid Artificial Intelligence (AI) approach for hydro energy sites selection and integration

The increase of energy demand in this era leads exploration of new renewable energy sites. Renewable energy offers multiple benefits; hence it is suitable to be harnessed to meet power needs. In Sarawak, exploitation of hydro energy is a very feasible potential due to the abundant river flows and high rainfall volume. Thus, in this paper, 155 potential Hydro Energy Sites (HES) are identified and divided into six districts using a raw and unprocessed data provided by Sarawak Energy Berhad (SEB). Since there are no similar researches previously done for identification and integration of hydro energy sources, in this paper, two stage complex data management was built using 155 HES locations in Sarawak. New spatial mapping technique were used for the first stage. From the new spatial mapping technique, the mapped data were categorized into groups, analysed and created new accurate mapping locations on the Sarawak map in terms of the districts using GIS Spatial tools. Their exact geographical locations were identified, and their coordinate systems have been retrieved as complete final data with geo-referencing technique in QGIS with ID numbers. Moreover, the power capacity of each location of all the 155 HES was quantified. By employing this data, the identified locations have been integrated into the already created 155 HES sites. For the second stage, a new two-part AI hybrid approach has been proposed and applied to improve optimal transmission line routing for each district to locate transmission line paths. The first part of hybrid AI implemented in this paper was TSP-GA and second part implemented in this paper was based on improved fuzzy logic with TSP-GA together. To ensure the optimal results are reliably achieved, both first part of TSP-GA and second part of improved fuzzy TSP-GA are utilized to generate the transmission line routing. These two approaches are required to obtain the minimal values of total distance and total elevation difference of each HES. Based on the benchmarking results, fuzzy TSP-GA successfully improved 12.99% for Song district, 7.52% for Kapit district, 3.71% for Belaga district, 1.54% for Marudi district, 18.01% for Limbang district, 11.00% for Lawas district when comparing against the ordinary TSP-GA approach.