Social Cognitive Optimization Algorithm with Reactive Power Optimization of Power System
CASON '10 Proceedings of the 2010 International Conference on Computational Aspects of Social Networks
New inspirations in swarm intelligence: a survey
International Journal of Bio-Inspired Computation
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
Seeker optimisation algorithm for the solution of economic load dispatch problems
International Journal of Bio-Inspired Computation
International Journal of Wireless and Mobile Computing
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
International Journal of Computing Science and Mathematics
Travel mode structure optimisation based on behaviour change
International Journal of Wireless and Mobile Computing
Hybrid ABC/PSO to solve travelling salesman problem
International Journal of Computing Science and Mathematics
Hi-index | 0.00 |
Social Emotional Optimisation Algorithm (SEOA) is a recent proposed novel population-based optimisation technique inspired by the human behaviours. In human society, the emotion guides each individual to make decision so that his/her behaviour may provide some profits. However, due to the simple setting motion in the standard version, the emotion changes can not provide enough materials. Therefore, in this paper, a stochastic model is designed by adding Levy distribution. In this model, the emotion is changed with one Levy translation. Simulation results show the proposed method is effective and efficient when dealing with multi-modal famous benchmarks, especially for high-dimensional cases.