A new hybrid mutation operator for multiobjective optimization with differential evolution

A new hybrid mutation operator for multiobjective optimization with differential evolution

Differential evolution has become one of the most widely used evolutionary algorithms in multiobjective optimization. Its linear mutation operator is a simple and powerful mechanism to generate trial vectors. However, the performance of the mutation operator can be improved by including a nonlinear part. In this paper, we propose a new hybrid mutation operator consisting of a polynomial-based o...

Differential Evolution with A New Mutation Operator for Solving High Dimensional Continuous Optimization Problems

In the past decades, different kinds of bio-inspired algorithms have been proposed to solve optimization problems. Although these algorithms have shown good optimization performance in solving lower dimensional problems (D<100), many of them could hardly achieve promising solutions with increasing of dimensions. In this paper, an improved differential evolution algorithm, namely IDE, is propose...

Differential Evolution with Generalized Mutation Operator

Differential Evolution (DE) proved to be one of the most successful evolutionary algorithms for global optimization purposes in continuous problems. The core operator in DE is mutation which can provide the algorithm with both exploration and exploitation. In this article, a new notation for DE is proposed which has a formula that can be utilized for generating and extracting novel mutations an...

DEMO: Differential Evolution for Multiobjective Optimization

Differential Evolution (DE) is a simple but powerful evolutionary optimization algorithm with many successful applications. In this paper we propose Differential Evolution for Multiobjective Optimization (DEMO) – a new approach to multiobjective optimization based on DE. DEMO combines the advantages of DE with the mechanisms of Paretobased ranking and crowding distance sorting, used by state-of...

Differential evolution for noisy multiobjective optimization