Differential Evolution: A survey of theoretical analyses
Differential Evolution (DE) is a state-of-the art global optimization technique. Considerable
research effort has been made to improve this algorithm and apply it to a variety of practical …
research effort has been made to improve this algorithm and apply it to a variety of practical …
Particle swarm optimization for single objective continuous space problems: a review
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review Page 1
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review …
Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review …
Differential evolution: A survey of the state-of-the-art
Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter
optimization algorithms in current use. DE operates through similar computational steps as …
optimization algorithms in current use. DE operates through similar computational steps as …
An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization
Differential evolution (DE) is one of the most powerful stochastic real parameter optimizers of
current interest. In this paper, we propose a new mutation strategy, a fitness-induced parent …
current interest. In this paper, we propose a new mutation strategy, a fitness-induced parent …
Enhancing differential evolution utilizing proximity-based mutation operators
Differential evolution is a very popular optimization algorithm and considerable research has
been devoted to the development of efficient search operators. Motivated by the different …
been devoted to the development of efficient search operators. Motivated by the different …
Differential evolution with two-level parameter adaptation
The performance of differential evolution (DE) largely depends on its mutation strategy and
control parameters. In this paper, we propose an adaptive DE (ADE) algorithm with a new …
control parameters. In this paper, we propose an adaptive DE (ADE) algorithm with a new …
A novel whale optimisation algorithm with filtering disturbance and nonlinear step
J Luo, F He, H Li, XT Zeng… - International Journal of …, 2022 - inderscienceonline.com
As a recent addition of population-based metaheuristic algorithms, whale optimisation
algorithm (WOA) has attracted a lot of attention recently. However, WOA still has room for …
algorithm (WOA) has attracted a lot of attention recently. However, WOA still has room for …
Comparison of mutation strategies in differential evolution–a probabilistic perspective
Differential Evolution (DE) is a state-of-the art evolutionary algorithm that solves global
optimization problems in a real domain. The algorithm adapts the mutation range and …
optimization problems in a real domain. The algorithm adapts the mutation range and …
An opposition-based differential evolution algorithm for permutation flow shop scheduling based on diversity measure
The permutation flow shop problem (PFSSP) is an NP-hard problem of wide engineering
and theoretical background. In this paper, a differential evolution (DE) based memetic …
and theoretical background. In this paper, a differential evolution (DE) based memetic …
Adaptive cross-generation differential evolution operators for multiobjective optimization
Convergence performance and parametric sensitivity are two issues that tend to be
neglected when extending differential evolution (DE) to multiobjective optimization (MO). To …
neglected when extending differential evolution (DE) to multiobjective optimization (MO). To …