On factoring differential and difference operators in n variables

The proposed constrained differential evolution framework uses nondominated sorting mutation operator based on fitness and diversity information for constrained optimization. This study proposes a new constraint differential evolution framework.Parents ...

Differential evolution(DE) is one of the most efficient algorithms in evolutionary algorithm family. Mutation operator is the core operator in DE. Generally, the parents in mutation operator are randomly selected from the parent population. In this paper,...

Aiming at the problems of premature convergence and evolutionary stagnation faced by differential evolution (DE), a dimensional difference-based population size adjustment framework (DDPSA) is proposed in this work. The framework monitors the ...

• A mechanism is designed to identify premature convergence and stagnation.
• An adaptive size adjustment scheme is proposed at the population level.
• Two types of replacement techniques are introduced at the individual level.
• DDPSA ...