Now showing items 1-4 of 4
Continuous Parameter Pools in Ensemble Differential Evolution
Ensemble of parameters and mutation strategies differential evolution (EPSDE) is an elegant promising optimization framework based on the idea that a pool of mutation and crossover strategies along, with associated pools ...
Hyper-learning for population-based incremental learning in dynamic environments.
The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. Recently, the PBIL algorithm has been applied for dynamic optimization problems. This paper ...
Structural bias in population-based algorithms
Abstract Challenging optimisation problems are abundant in all areas of science and industry. Since the 1950s, scientists have responded to this by developing ever-diversifying families of ‘black box’ optimisation algorithms. ...
Multicriteria adaptive differential evolution for global numerical optimization
(IOS Press, 2015-02-01)
Differential evolution (DE) has become a prevalent tool for global optimization problems since it was proposed in 1995. As usual, when applying DE to a specific problem, determining the most proper strategy and its associated ...