Abstract The performance of Differential Evolution is significantly affected by the mutation
scheme, which attracts many researchers to develop and enhance the mutation scheme in …

Differential Evolution (DE) is a stochastic, population based search technique, which can be
classified as an Evolutionary Algorithm (EA) using the concepts of selection crossover and …

Differential Evolution (DE) is a novel evolutionary approach capable of handling
nondifferentiable, non-linear and multi-modal objective functions. DE has been consistently …

Past few decades have witnessed the growth and development of different optimization
techniques that can be applied for solving complex problems that are otherwise difficult to …

In recent years, Differential Evolution (DE) has shown excellent performance in solving
optimization problems over continuous space and has been widely used in many fields of …

Differential Evolution (DE) algorithm is a new heuristic approach mainly having three
advantages; finding the true global minimum regardless of the initial parameter values, fast …

Differential evolution (DE) is widely studied in the past decade. In its mutation operator, the
random variations are derived from the difference of two randomly selected different …

Differential evolution (DE) is a powerful global optimization algorithm which has been
studied intensively by many researchers in the recent years. A number of variants have been …

Over the years, several metaheuristics have been developed to solve hard constrained and
unconstrained optimization problems. In general, a metaheuristic is proposed and following …

Received: 24 Janurary 2022 Accepted: 2 August 2022 Differential Evolution (DE) is a widely
used global searching algorithm that solves realworld optimization problems. It is …