Competition For Food Research Articles

О расчете приемной емкости северо-западной части Каспийского моря в интересах искусственного воспроизводства водных биоресурсов в Волжско-Каспийском рыбохозяйственном бассейне

After release into the natural habitat, juveniles of semi-passable and passable fish, raised in sturgeon hatcheries and spawning farms of the Astrakhan region, do not stay in the river and roll into the sea. The main food objects for it are organisms of the “soft” benthos – crustaceans, worms and insect larvae. According to the results of research in 2020-2023, data from the analysis of the feed base during the period of the most intense food competition showed that the biomass of benthic invertebrates in the western part of the Caspian Sea is 121.1 thousand tons, production is 484.5 thousand tons. Taking into account the diets, age composition and abundance of each species of fish living in the water area of the settlement of factory juveniles, the volume of withdrawal of forage organisms is determined. livestock. The main consumers of “soft” benthos are representatives of cyprinid, atherine and goby fish species, which makes them the main food competitors of the produced juveniles. The reserve of “soft” benthos products is distributed among the factory juveniles according to the weight and daily diet of each species during the feeding period at sea. When calculating the permissible volume of release of each of the artificially reproducible water bodies, the coefficients of the maximum possible use of the feed base by juvenile fish and an increase in its number, taking into account death during adaptation to the natural environment, are used. Based on the calculations carried out, it is shown that the potential of the forage base of the western part of the Northern Caspian Sea is not a limiting factor in the stocking of the marine area with objects of artificial reproduction. The above method of calculating the receiving capacity is used in the preparation of an annual plan of measures for the artificial reproduction of aquatic biological resources.

Pengaruh Harga dan Promosi Terhadap Keputusan Pembelian Pada Donat Jeko di Kotabumi

Consumer purchasing decisions are a crucial factor in a company's marketing strategy, especially in the competitive food and beverage industry. This study aims to analyze the influence of price and promotion on consumer purchasing decisions at Jeko Donuts in Kotabumi. The research employs a descriptive analysis method, collecting data through a survey involving 100 respondents. The findings reveal that, partially, the price variable has a positive and significant influence on purchasing decisions. This indicates that appropriate price adjustments can enhance consumer buying interest. Furthermore, the promotion variable also demonstrates a positive and significant influence on purchasing decisions, suggesting that innovative and attractive promotional activities can increase product appeal to consumers. Simultaneous analysis reveals that price and promotion together have a significant influence on purchasing decisions. These findings highlight the importance of combining price and promotion strategies to boost sales and product competitiveness in the market.

Impacts of estuarine habitat degradation on the modeled life history of marine estuarine-dependent and resident fish species.

Shallow coastal and estuarine habitats play an essential role in the life cycles of many fish species, providing spawning, nursery, feeding, and migration areas. However, these ecologically valuable habitats are increasingly threatened by anthropogenic activities, causing substantial changes in both habitat availability and quality. Fish species use these shallow coastal habitats and estuaries during various life stages, leading to their categorization into guilds based on how and when they rely on these areas. This differential functional use of estuaries means that changes to these habitats may affect each guild differently. To understand the impact of estuarine habitat degradation on fish populations, it is therefore necessary to consider the full life cycle of fish and when they rely on these coastal habitats. Here, we use conceptual size-structured population models to study how estuarine habitat degradation affects two functionally different guilds. We use these models to predict how reduced food productivity in the estuary affects the demographic rates and population dynamics of these groups. Specifically, we model estuarine residents, which complete their entire life cycle in estuaries, and marine estuarine-dependent species, which inhabit estuaries during early life before transitioning offshore. We find that total fish biomass for both guilds decreases with decreasing food productivity. However, the density of juveniles of the marine estuarine-dependent guild can, under certain conditions, increase in the estuary. This occurs due to a shift in the population biomass distribution over different life stages and a simultaneous shift in which life stage is most limited by food. At the individual level, somatic growth of juveniles belonging to the estuarine-dependent guild decreased with lower food supply in the estuary, due to increased competition for food. The somatic growth rates of fish belonging to the resident guild were largely unaffected by low food supply, as the total fish density decreased at the same time and therefore the per-capita food availability was similar. These outcomes challenge the assumption that responses to habitat degradation are similar between fish guilds. Our study highlights the need to assess not only fish biomass but also size distributions, survival, and somatic growth rates for a comprehensive understanding of the effects of habitat degradation on fish populations. This understanding is crucial not only for estuary fish communities but also for successful conservation and management of commercially harvested offshore population components.

Predicting Job Change Intentions for a Food Manufacturing Company: A Deep Learning Case Study

This study aims to address employee job change intention in the competitive food manufacturing industry by developing deep learning models to predict job change intentions. Using a comprehensive dataset of 32,000 employee records, including demographics, education, and work experience, the study employed a quantitative methodology with neural network analysis. Various deep learning models were implemented and evaluated using TensorFlow and Keras, with techniques like GridSearchCV, Random Search CV, SMOTE, and Keras Tuner used for hyperparameter tuning and addressing class imbalance. The findings revealed significant differences in model effectiveness, with Model 7: Complex Neural Network Architecture, featuring a complex architecture and appropriate regularization, achieving a reasonable balance across metrics and demonstrating improved recall for job changers. This suggests its suitability for predicting job change intention in a food manufacturing company. The study concludes that well-tuned deep learning models can significantly enhance predictive accuracy, offering valuable insights for HR professionals to develop targeted retention strategies. Future research should explore additional features influencing staff job change intention, validate these models across diverse organizational contexts, and integrate real-time data analytics and explainable AI techniques to improve transparency and effectiveness in HR practices.

BUILDING BRAND AWARENESS THROUGH PRODUCT QUALITY AND SOCIAL MEDIA MARKETING FOR FOOD SERVICE BUSINESS DEVELOPMENT

Objective: This study investigates the role of product quality and social media marketing on brand awareness in the food service industry, mainly focusing on pastry and beverage establishments in Bandung, Indonesia. Theoretical Framework: Brand awareness is crucial for consumer decision-making, with product quality playing a significant role in brand recognition. The study explores the role of social media platforms, especially in promoting product branding within the competitive food service sector. Method: A survey was conducted among 150 consumers of a food service outlet in urban Bandung, Indonesia, specialising in pastries and beverages. Quantitative methods were employed, and data was analysed using multiple regression analysis. Results and Discussion: Both product quality and social media marketing significantly impact brand awareness. However, social media communication only partially affects brand awareness, suggesting additional factors influence consumer perceptions. Research Implications: Recommendations are provided for researchers and practitioners in the hospitality industry, emphasising the importance of leveraging social media for digital marketing and integrating product quality to enhance brand awareness. Originality/Value: This study underscores the evolving role of digital technology, particularly social media, in shaping brand awareness in the food service sector. It highlights the necessity of combining product quality and digital marketing strategies to promote brand recognition and achieve business development objectives effectively.

Food base of nekton in deep-sea areas of the western Bering Sea: dynamics, current state and its consumption by pacific salmon

Long-term dynamics of the food base for nekton in the deep-sea waters of the western Bering Sea are analyzed on the data of ecosystem surveys in 1986–2022. The main patterns of species composition and structure are determined for the main taxonomic groups of zooplankton and their production is evaluated. These features are influenced by climateoceanographic and biocenotic factors, with priority of the climate-oceanographic ones, whereas the biocenotic factors are conditioned by them. As an example of biocenotic impact, the effect of chaetognats on copepods is considered. Trophic characteristics of the most abundant species of pacific salmon (chum salmon Oncorhynchus keta and pink salmon O. gorbuscha) and their consumption of zooplankton production were estimated for 2020–2022. Comparing productivity and grazing of the main zooplankton groups, there is concluded that pacific salmon consume a small portion from seasonal production of their prey, therefore, food competition between the species of pacific salmon is absent in the deep-sea waters.

Catch me if you can: free-living mice show a highly flexible dodging behaviour suggestive of intentional tactical deception.

Intentional tactical deception, the employment of a tactic to intentionally deceive another animal, is a complex behaviour based on higher-order cognition, that has rarely been documented outside of primates and corvids. New laboratory-to-field assays, however, provide the opportunity to investigate such behaviour among free-living mice. In the present study, we placed laboratory-style test chambers with a single entrance near a forest outside Warsaw, where we observed the social interactions of two territorial murids, black-striped and yellow-necked mice, under food competition for seven months. Notably, among the social interactions, we video-recorded 21 instances of deceptive pursuer evasion. In the most obvious cases, an individual inside the chamber, to avoid an incoming mouse, hid by the chamber opening (the only means to enter or exit), paused until the pursuer entered and passed by, and then exploited the distraction of the back-turned pursuer by fleeing through the opening in a direction opposite to the one the pursuer came from. This deceptive dodging is the first evidence of a behaviour suggestive of intentional tactical deception among mice. As such, this deceptive behaviour may be of interest not only for rodent psychology but also, more generally, for the fields of non-human intentionality and theory of mind.

Individual energetics scale up to community coexistence: Movement, metabolism and biodiversity dynamics in fragmented landscapes.

Unravelling the intricate mechanisms that govern community coexistence remains a daunting challenge, particularly amidst ongoing environmental change. Individual physiology and metabolism are often studied to understand the response of individual animals to environmental change. However, this perspective is currently largely lacking in community ecology. We argue that the integration of individual metabolism into community theory can offer new insights into coexistence. We present the first individual-based metabolic community model for a terrestrial mammal community to simulate energy dynamics and home range behaviour in different environments. Using this model, we investigate how ecologically similar species coexist and maintain their energy balance under food competition. Only if individuals of different species are able to balance their incoming and outgoing energy over the long-term will they be able to coexist. After thoroughly testing and validating the model against real-world patterns such as of home range dynamics and field metabolic rates, we applied it as a case study to scenarios of habitat fragmentation - a widely discussed topic in biodiversity research. First, comparing single-species simulations with community simulations, we find that the effect of habitat fragmentation on populations is strongly context-dependent. While populations of species living alone in the landscape were mostly positively affected by fragmentation, the diversity of a community of species was highest under medium fragmentation scenarios. Under medium fragmentation, energy balance and reproductive investment were also most similar among species. We therefore suggest that similarity in energy balance among species promotes coexistence. We argue that energetics should be part of community ecology theory, as the relative energetic status and reproductive investment can reveal why and under what environmental conditions coexistence is likely to occur. As a result, landscapes can potentially be protected and designed to maximize coexistence. The metabolic community model presented here can be a promising tool to investigate other scenarios of environmental change or other species communities to further disentangle global change effects and preserve biodiversity.

SOYBEAN AND WASTE COOKING OIL BASED FEEDSTOCKS AS A SUSTAINABLE BIOFUEL

Fuel in transportation is necessary and gas release from transportation activity raises concern of pollution. Sustainable fuels sources are from biomass can convert to the alternative to the bioenergy fuel. It is actively investigated with concern in the environmental effects if using conventional fuels from reservoir of fossil fuels. Hence, to counter these consequences, Sustainable Fuels (SF) is investigated as it is considered a renewable source of fuel. Thus, this study aims to establish an experiment to determine the suitability of biomass fuel by using soybean and waste cooking oil feedstocks. An experiment is set up to produce biomass fuel by using feedstock from different biomass particularly from soybean oil, a first-generation edible feedstock and waste cooking oil, a second-generation nonedible feedstock. The method chosen to produce biomass fuel is transesterification. The experiment will test the effects of a catalyst, namely solid Potassium Hydroxide, KOH, with three levels of concentration 0.75%, 1%, and 1.5% w/w KOH. Once the biomass fuel is produced it will undergo a series of tests to study the effect of parameters such as density, kinematic viscosity, caloric value, acid value and Fatty Acid Methyl Ester (FAME). The results show that using the feedstock 0.75 w/w% of KOH, the yield of biomass fuel is the most for both feedstocks. It is noted that soybean oil yields slightly greater feedstock than waste cooking oil. The density for both feedstock is very similar at 0.87-0.88 g/cm3. The acid value of biomass fuel produced from waste cooking oil is much higher than soybean oil at 0.28 but still under the acceptance range of 0.5. The concentration of catalyst used is a major factor in the yield of biomass fuel. It is also noted that the first-generation edible feedstock of soybean oil produces greater quality of biomass fuel. Nevertheless, first-generation feedstock still poses the food competition threat in comparison to second-generation feedstock. Therefore, establishment of the second-generation feedstock from waste cooking oil produces biomass fuel that is close to the quality of soybean oil, it is a more preferred feedstock compared to soybean oil.

Economic Diplomacy Strategy in Increasing Globally Competitive National Food to Realize a Golden Indonesia 2045

Economic diplomacy strategies are very important in establishing cooperation aimed at improving national economic development. Currently, food has become a commodity that is needed by every country to meet its country's needs. This can be maximized by Indonesia to compete globally to improve the quality of national food where Indonesia is a country that has abundant natural resources. The existence of global national food competitiveness helps economic growth so that it can improve people's welfare and make Indonesia golden in 2045. This research uses Economic Diplomacy Theory according to Kishan S. Rana (2007) divides the typology of economic diplomacy into four types, namely traditional, niche-focused, evolving, and innovative. The research aims to explain Indonesia's economic diplomacy strategy in increasing national food that is globally competitive to realize golden Indonesia 2045. The research uses a literature study method that involves analysis of relevant written sources. The results achieved show that economic diplomacy strategies are very important in improving national food that is globally competitive with careful and intelligent government policies in facing challenges and preparation in improving the quality of national food.

Implementasi SNA dalam Menilai Popularitas Platform Pemesanan Makanan Online Berbasis Percakapan Twitter

This research aims to understand the popularity of online food ordering platforms in Indonesia, although the data taken in Indonesian includes allied languages. This research combines the SWARA, WASPAS, and Social Network Analysis (SNA) approaches to achieve its objectives. The problem formulation proposed is how to measure and analyze the popularity of online food ordering platforms based on interaction data on Twitter social media. The SWARA method is used to determine the weight of the evaluation criteria, while WASPAS is applied to rank online food ordering platforms. Meanwhile, SNA is applied to analyze interaction patterns and user preferences for various online food ordering platforms. Twitter was chosen as the main data source because it provides direct conversation data and real depictions, allowing for in-depth and accurate analysis. Through Twitter, research can capture the dynamics of user interactions and how they communicate about various online food ordering platforms. This research aims to provide a strong foundation for decision makers in designing more effective marketing strategies and provide insight into the dynamics of competition in the online food ordering platform industry. The research results show that SNA-based analysis is able to clearly identify interaction patterns and user preferences.

Evolutionary lability of food caching behaviour in mammals.

Food hoarding provides animals access to resources during periods of scarcity. Studies on mammalian caching indicate associations with brain size, seasonality and diet but are biased to a subset of rodents. Whether the behaviour is generalizable at other taxonomic scales and/or is influenced by other ecological factors is less understood. Population density may influence food caching due to food competition or pilferage, but this remains untested in a comparative framework. Using phylogenetic analyses, we assessed the role of morphology (body and brain size), climate, diet breadth and population density on food caching behaviour evolution at multiple taxonomic scales. We also used a long-term dataset on caching behaviour of red squirrels (Tamiasciurus fremonti) to test key factors (climate and population density) on hoarding intensity. Consistent with previous smaller scale studies, we found the mammalian ancestral state for food caching was larderhoarding, and scatterhoarding was derived. Caching strategy was strongly associated with brain size, population density and climate. Mammals with larger brains and hippocampal volumes were more likely to scatterhoard, and species living at higher population densities and in colder climates were more likely to larderhoard. Finer-scale analyses within families, sub-families and tribes indicated that the behaviour is evolutionary labile. Brain size in family Sciuridae and tribe Marmotini was larger in scatterhoarders, but not in other tribes. Scatterhoarding in tribe Marmotini was more likely in species with lower population densities while scatterhoarding in tribe Sciurini was associated with warmer climates. Red squirrel larderhoarding intensity was positively related to population density but not climate, implicating food competition or pilferage as an important mechanism mediating caching behaviour. Our results are consistent with previous smaller-scale studies on food caching and indicate the evolutionary patterns of mammalian food caching are broadly generalizable. Given the lability of caching behaviour as evidenced by the variability of our results at finer phylogenetic scales, comparative analyses must consider taxonomic scale. Applying our results to conservation could prove useful as changes in population density or climate may select for different food caching strategies and thus can inform management of threatened and endangered species and their habitats.

New fossil anhingids from the upper Acre River (Late Miocene of southwestern Amazon).

Four extant species of anhingids are found worldwide, all belonging to a single genus (Anhinga). However, the fossil record reveals a much greater diversity of this group in the past. The oldest known anhingids date back to the upper Oligocene period in Australia, but during the Miocene epoch in South America, they achieved their most remarkable diversity. This study describes newly discovered anhingid fossils from the Late Miocene period in South America. These fossils were extracted from the Acre conglomerate member, part of the Upper Miocene deposits in the southwestern Amazon region. The described fossils consist of two fragments of pelvic girdles, two femora, and two vertebrae belonging to a giant anhingid (Macranhinga sp.), as well as a vertebra from Anhinga minuta, the smallest of all darters. The examination of these fossils suggests the presence of potentially three distinct anhingid taxa within the same locality. The environment in which the conglomerate deposits were formed was ecologically complex. It is likely that these three species coexisted within the same ecosystem but avoided direct competition for food and reproductive sites by not fully exploiting their fundamental niche.

Quick-Cart: A Cross-Platform Application

This paper presents the development and implementation of "Quick-cart," a cross-platform food delivery application built using Flutter and Firebase. The application aims to provide a seamless user experience across both iOS and Android platforms, leveraging Flutter for unified code management and Firebase for real-time database management, authentication, and cloud functions. The study focuses on the design, architecture, and performance of the application, highlighting the advantages of using Flutter and Firebase in modern mobile application development. Through extensive testing and user feedback, Quick-cart demonstrates its potential in the competitive food delivery market. Keywords: Cross-Platform, Flutter, Firebase, Mobile Application, Food Delivery

Exploring Cafe Atmosphere and Service Excellence Effects on Customer Loyalty Globally

This study explores the impact of cafe atmosphere, menu diversity, and service excellence on customer loyalty at Istoria Cafe Sidoarjo. Using a quantitative approach with data from 97 respondents, the analysis reveals that cafe atmosphere significantly influences customer loyalty, while menu diversity shows no significant impact. Service excellence, however, plays a crucial role in enhancing customer loyalty. These findings highlight the importance of creating a captivating ambiance and providing exceptional service to foster customer loyalty in the competitive food and beverage industry, offering valuable insights for cafe owners and managers aiming to improve business performance. Highlight: Ambiance Affects Loyalty: Atmosphere influences customer loyalty at Istoria Cafe Sidoarjo. Service Key to Loyalty: Excellent service crucial for fostering customer loyalty. Menu Diversity's Role: Limited impact on customer loyalty identified in the study. Keyword: Cafe atmosphere, Menu diversity, Service excellence, Customer loyalty, Istoria Cafe Sidoarjo.

A long-term study of the impact of the invasive species Eurasian minnow Phoxinus phoxinus on brown trout Salmo trutta production in a high mountain lake, Southern Norway

The shallow Lake Skjerja was originally one of the most outstanding brown trout lakes on the Hardangervidda mountain plateau. During the period 1973–1985, the annual yield was on average 3.35 kg ha-1. In the mid-1980s, Eurasian minnow established a dense population in the lake. Since 1994, 5304 kg of Eurasian minnow have been removed with baited traps, which correspond to an annual mean catch of 177 kg year-1 or 1.12 kg ha-1. The competition for food, in addition to longer food chains, has had a strong negative impact on the brown trout production, with an annual yield reduced to 1.07 kg ha-1, or 32% of the historical catches (1973-1985). The total removed biomass of the two fish species correspond to 65% of the brown trout yield before the invasion of the Eurasian minnow. In Lake Skjerja, the two crustacean species Gammarus lacustris and Lepidurus arcticus, have historically been staple food items for brown trout. Fishing with baited traps on the minnows, and the presence of a large fraction of predatory brown trout, may have reduced the predation pressure on the two crustacean species, and they are still a part ofthe brown trout diet. The availability of fish as food has resulted in a significant increase in the presence of large individuals of brown trout with maximum weights above four kg. Despite reduced annual yield of brown trout, Lake Skjerja is still a popular fish destination with nearly 200 big-sized brown trout (mean annual weight 1065 grams) landed annually. On Hardangervidda, an increase in air temperature has been observed since the 1980s, with a corresponding change in water temperature which may benefit Eurasian minnow. In warm summers, water temperature approaches 14°C which has proved to be near to the upper thermal threshold for Lepidurus arcticus.

Increased eye size is favoured in Trinidadian killifish experimentally transplanted into low light, high competition environments.

Intraspecific variation in vertebrate eye size is well known. Ecological factors such as light availability are often correlated with shifts in relative eye size. However, experimental tests of selection on eye size are lacking. Trinidadian killifish (Anablepsoides hartii) are found in sites that differ in predation intensity. Sites that lack predators are characterized by lower light, high killifish densities, low resource availability, and intense competition for food. We previously found that killifish in sites that lack predators have evolved a larger "relative" eye size (eye size corrected for body size) than fish from sites with predators. Here, we used transplant experiments to test how selection operates on eye size when fish that are adapted to sites with predators are translocated into sites where predators are absent. We observed a significant "population × relative eye size" interaction; the relationship between relative eye size and a proxy for fitness (rates of individual growth) was positive in the transplanted fish. The trend was the opposite for resident fish. Such results provide experimental support that larger eyes enhance fitness and are favoured in environments characterized by low light and high competition.

The impact of weather conditions on the competition and breeding success of three sympatric hornbill species in a semi-arid region

Recent studies have highlighted the vulnerability of hornbills breeding in hot, arid environments, raising concern about the species’ persistence with climate change. Hornbills are, however, a widespread avian family found in various climates in Africa and Asia. In this study, we investigated the factors impacting the breeding phenology of three sympatric African hornbill species in a semi-arid environment. We found that rainfall was associated with breeding initiation and breeding success in all three species (African grey hornbill Lophoceros nasutus, Southern yellow-billed hornbill Tockus leucomelas, and Southern red-billed hornbill Tockus rufirostris). Breeding success and chick body mass change of African grey hornbills and Southern yellow-billed hornbills, but not Southern red-billed hornbills, were negatively impacted by high air temperatures during the breeding season. This study shows that Southern red-billed hornbills were more successful at producing offspring compared to African grey hornbills and Southern yellow-billed hornbills, which was likely due to their later breeding initiation compared to the other two species. Future changes in rainfall patterns may cause the African grey hornbills and Southern yellow-billed hornbills to delay breeding activities. Delayed breeding could result in a greater overlap of the nesting period of the three species, which would, in turn, increase the competition for food and suitable nesting sites. This study confirms that also in semi-arid areas, climate change has the potential to affect the breeding success of hornbills.

Fish Diversity and Hydrological Parameters of Indrasagar Reservoir (Khandwa District)

The state of Madhya Pradesh is the central state of India & one of the important aquatic biodiversity hotspots of the country, having bestowed with a large number of water bodies both lotic and lentic, the state boasts of rich fish biodiversity. The aim of this study is collection and identification of finfish that found in Indira sagar reservoir and the water quality parameter of the reservoir in which the fishes thriving. Total 54 species of 9 order were found in the reservoir in Khandwa district including labeo rohita,Catla catla, Cirrhinus mrigala, Ctenopharyngodon idella Labeo calbasu, Puntius sophore, Pethia ticto,Puntius chola, Cyprinus carpio, Pangasianodon hypophthalmus, Oreochromis mossambicus, Glossogobius giuris, Channa marulius, Channa gachua , Channa striata and Clarias magur etc. The 03 species of transplanted Indian major carps Catla catla, Cirrhinus mrigala and Labeo rohita are dominating the fishermen catches The authors are of firm opinion that the exotic species are posing competition for food and space to the native species.. To certain extend even hybrid of catla and rohu are available in the fish catches The water quality parameters were significantly found suitable for freshwater cultivable species including the temperature, dissolved oxygen, Total hardness , dissolved oxygen and temperature are higher in summer season and lower in winter season. This may be due to higher photosynthetic rate in summer season. Whereas the pH value is higher in winter season and lower in summer season. It indicates reduction in photosynthetic activities in winter which reduces assimilation of carbon dioxide and bicarbonates.

Bio-Inspired Intelligent Swarm Confrontation Algorithm for a Complex Urban Scenario

This paper considers the confrontation problem for two tank swarms of equal size and capability in a complex urban scenario. Based on the Unity platform (2022.3.20f1c1), the confrontation scenario is constructed featuring multiple crossing roads. Through the analysis of a substantial amount of biological data and wildlife videos regarding animal behavioral strategies during confrontations for hunting or food competition, two strategies are been utilized to design a novel bio-inspired intelligent swarm confrontation algorithm. The first one is the “fire concentration” strategy, which assigns a target for each tank in a way that the isolated opponent will be preferentially attacked with concentrated firepower. The second one is the “back and forth maneuver” strategy, which makes the tank tactically retreat after firing in order to avoid being hit when the shell is reloading. Two state-of-the-art swarm confrontation algorithms, namely the reinforcement learning algorithm and the assign nearest algorithm, are chosen as the opponents for the bio-inspired swarm confrontation algorithm proposed in this paper. Data of comprehensive confrontation tests show that the bio-inspired swarm confrontation algorithm has significant advantages over its opponents from the aspects of both win rate and efficiency. Moreover, we discuss how vital algorithm parameters would influence the performance indices.