Journal of Global Optimization
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Exchange strategies for multiple Ant Colony System
Information Sciences: an International Journal
Multi-strategy ensemble particle swarm optimization for dynamic optimization
Information Sciences: an International Journal
Artificial immune algorithm for IIR filter design
Engineering Applications of Artificial Intelligence
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
JADE: adaptive differential evolution with optional external archive
IEEE Transactions on Evolutionary Computation
Biogeography-based optimization combined with evolutionary strategy and immigration refusal
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Oppositional biogeography-based optimization
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Two-stage update biogeography-based optimization using differential evolution algorithm (DBBO)
Computers and Operations Research
Multi-operator based evolutionary algorithms for solving constrained optimization problems
Computers and Operations Research
A probabilistic analysis of a simplified biogeography-based optimization algorithm
Evolutionary Computation
Evolutionary programming made faster
IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Evolutionary programming using mutations based on the Levy probability distribution
IEEE Transactions on Evolutionary Computation
On the convergence of a class of estimation of distribution algorithms
IEEE Transactions on Evolutionary Computation
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
IEEE Transactions on Evolutionary Computation
Opposition-Based Differential Evolution
IEEE Transactions on Evolutionary Computation
Accelerating Differential Evolution Using an Adaptive Local Search
IEEE Transactions on Evolutionary Computation
Biogeography-Based Optimization
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Genetic algorithms in constrained optimization
Mathematical and Computer Modelling: An International Journal
Multi-operator based biogeography based optimization with mutation for global numerical optimization
Computers & Mathematics with Applications
Multi-operator based biogeography based optimization with mutation for global numerical optimization
Computers & Mathematics with Applications
| Hi-index | 0.09 |
Biogeography based optimization (BBO) is a new evolutionary optimization based on the science of biogeography for global optimization. We propose two extensions to BBO. First, we propose a new migration operation based multi-parent crossover called multi-parent migration model, which is a generalization of the standard BBO migration operator. The new migration model can satisfy a balance of exploration and exploitation. Second, the Gaussian mutation operator is integrated into multi-operator biogeography based optimization (MOBBO) to enhance its exploration ability and to improve the diversity of population. Experiments have been conducted on 23 benchmark problems of a wide range of dimensions and diverse complexities. Simulation results and comparisons demonstrate the proposed MOBBO algorithm based multi-parent crossover model is better, or at least comparable to, the BBO, PBBO and evolutionary algorithms from literature when considering the quality of the solutions obtained.