Hybrid Evolutionary Algorithms
Hybrid Evolutionary Algorithms
Differential evolution and threshold accepting hybrid algorithm for unconstrained optimisation
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
Intelligent process planning methods for the manufacturing of moulds
International Journal of Computer Applications in Technology
International Journal of Bio-Inspired Computation
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Control of dead-time systems using derivative free particle swarm optimisation
International Journal of Bio-Inspired Computation
Modified biogeography-based optimisation (MBBO)
International Journal of Bio-Inspired Computation
Multi-document summarisation using genetic algorithm-based sentence extraction
International Journal of Computer Applications in Technology
Genetic algorithm based solution to dead-end problems in robot navigation
International Journal of Computer Applications in Technology
Biogeography-Based Optimization
IEEE Transactions on Evolutionary Computation
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Because the requirements of antennas get more and more complicated, an effective evolutionary algorithm for solving complex antenna problems is necessary. The hybrid biogeography-based optimisation with differential evolution BBO/DE and dynamic multi-objective technique are combined into dynamic multi-objective BBO/DE, which is aimed at improving the global search ability in solving antenna optimisation problem. We then used the effective algorithm to solve a challenging wide-beam antenna problem with beam width of 140 degrees. A small antenna with only seven wires, however, with 20 variables and 4,322 constraints, has been designed, and an acceptable one, which is satisfied in real application, has been obtained.