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Adaptive system of swarm intelligent with Genetic Algorithm for global optimization
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012A new strategy of Adaptive Plan System with Genetic Algorithm (APGA) is proposed to reduce a large amount of calculation cost and to improve stability in convergence to an optimal solution for multi-peak optimization problems with multi-dimensions.
Hieu Pham, Hiroshi Hasegawa
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A Unified Frame of Swarm Intelligence Optimization Algorithm
2012Swarm intelligence optimization algorithm is a heuristic search algorithm based on the swarm intelligent behavior of biology, which shows excellent performance in deal with complex optimization problems. On the basis of analyzing particle swarm optimization algorithm, ant colony algorithm and artificial bee colony algorithm, the paper presents a ...
Chen Jia-zhao +2 more
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Evolutionary Algorithms for Optimization and Swarm Intelligence-Based Optimization
Evolutionary Algorithms (EAs) and Swarm Intelligence (SI)-based Optimization are powerful, nature-inspired methodologies used to solve complex optimization problems. EAs, including Genetic Algorithms and Evolution Strategies, simulate natural selection processes to iteratively improve solutions through selection, mutation, and crossover.Rajeshwari Sissodia +3 more
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Metaheuristic Optimization Algorithms of Swarm Intelligence in Patch Antenna Design
2018 IEEE 10th Latin-American Conference on Communications (LATINCOM), 2018The patch antennas are widely used today and the research about their design is very important due to the numerous communication systems in which they are used. However, for these applications is essential that their parameters are suitable. Besides, the theoretical design of this type of antennas is not always effective.
Paola M. Guaman +3 more
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The Swarm Intelligence Optimization Algorithm and its Application
Advanced Materials Research, 2013In the article, three kinds of swarm intelligence optimization algorithm are discussed including the ant colony optimization (ACO) algorithm, the particle swarm optimization (PSO) algorithm and the shuffled frog leaping algorithm (SFLA). The principle, development and application of each algorithm is introduced.
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Evolution in Swarm Intelligence: An Evolutionary Ant-Based Optimization Algorithm
2006Swarm Intelligent (SI) algorithms draw their inspiration from the interaction of individuals of social organisms. One such algorithm, Ant Colony Optimization (ACO) [1], utilizes the foraging behavior of ants to solve combinatorial optimization problems.
Christopher Roach, Ronaldo Menezes
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Research on Continuous Function Optimization Algorithm Based on Swarm-Intelligence
2009 Fifth International Conference on Natural Computation, 2009On the basis of the analyses of Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO), Continuous Ant- Particle Swarm Optimization (CA-PSO) applied in continuous function optimization is proposed. After the space partition is properly employed, ACO is applied to search the sensitive areas through the whole solution space.
Sasa Ma +3 more
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AI Communications
Swarm intelligence optimization algorithm has been proved to perform well in the field of parameter optimization. In order to further improve the performance of intelligent optimization algorithm, this paper proposes an improved and adaptive tunicate swarm algorithm (IMATSA) based on tunicate swarm algorithm (TSA).
Yan Chen, Weizhen Dong, Xiaochun Hu
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Swarm intelligence optimization algorithm has been proved to perform well in the field of parameter optimization. In order to further improve the performance of intelligent optimization algorithm, this paper proposes an improved and adaptive tunicate swarm algorithm (IMATSA) based on tunicate swarm algorithm (TSA).
Yan Chen, Weizhen Dong, Xiaochun Hu
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MNEARO: A meta swarm intelligence optimization algorithm for engineering applications
Computer Methods in Applied Mechanics and EngineeringzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, Gang +3 more
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