Dynamic social behavior algorithm for real-parameter optimization problems and optimization of hyper beamforming of linear antenna arrays
| Autor: | Tiong Sieh Kiong, K. Prajindra Sankar, Johnny Koh Siaw Paw |
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| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
021103 operations research Meta-optimization Optimization problem Computer science Foraging 0211 other engineering and technologies Evolutionary algorithm Imperialist competitive algorithm 02 engineering and technology Swarm intelligence Evolutionary computation Artificial Intelligence Control and Systems Engineering Robustness (computer science) Derivative-free optimization 0202 electrical engineering electronic engineering information engineering Test functions for optimization 020201 artificial intelligence & image processing Electrical and Electronic Engineering Multi-swarm optimization Algorithm Metaheuristic Global optimization |
| Zdroj: | Engineering Applications of Artificial Intelligence. 64:401-414 |
| ISSN: | 0952-1976 |
| DOI: | 10.1016/j.engappai.2017.06.027 |
| Popis: | The ever evolving complexity of real-world problems had become an impetus for the development of many new and efficient optimization algorithms. Meta-heuristics based on evolutionary computation and swarm intelligence are successful examples of nature-inspired optimization techniques. In this work, a new Dynamic Social Behavior (DSB) algorithm is proposed to solve global optimization problems. The DSB algorithm is based on the simulation of cooperative behavior of animal groups. In the proposed algorithm, individuals emulate the interaction of individuals based on biological laws of cooperative colony. This algorithm partially adopts the foraging strategy of animal groups and utilizes recruitment signal as a means of information transfer among individuals. In order to illustrate the proficiency and robustness of the proposed algorithm, it is compared with other well-known evolutionary algorithms. The comparison examines several series of widely used benchmark functions and an engineering problem on hyper beamforming optimization. The results testifies the superior performance of DSB compared with other state-of-the-art meta-heuristics. |
| Databáze: | OpenAIRE |
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