In differential evolution (DE), the optimal value of the control parameters is problem-
dependent. Many improved DE algorithms have been proposed with the aim of improving …

Differential evolution (DE), a global optimization algorithm, is the latest addition to the
repository of evolutionary algorithm (EA). In spite of its potential in solving wide range of …

To solve chemical process dynamic optimization problems, a differential evolution algorithm
integrated with adaptive scheduling mutation strategy (ASDE) is proposed. According to the …

Differential evolution (DE) is a high performance and easy to implement evolutionary
algorithm. The DE algorithm with small population size (ie, micro-DE) can further increase …

Differential evolution (DE) algorithm with a small population size is called Micro-DE (MDE).
A small population size decreases the computational complexity but also reduces the …

Higher expectation has been requested from artificial intelligence (AI) owing to its success in
various applications and domains. The use of AI is no longer limited to solve static …

Differential evolution (DE), one of the evolutionary algorithms (EAs), is well-known for its
quality solutions and speed convergence. Just like any EA, the execution of DE depends on …

Differential Evolution (DE) is widely used in solving single objective constrained real-
parameter optimization problems. In this paper we present a new version of DE-based …

In this paper, a method of establishing and analyzing the probability model of its mutation
and crossoperation process for differential evolution (DE) algorithm is proposed; especially …