This paper presents adaptive guided differential evolution algorithm (AGDE) for solving
global numerical optimization problems over continuous space. In order to utilize the …

This paper presents enhanced fitness-adaptive differential evolution algorithm with novel
mutation (EFADE) for solving global numerical optimization problems over continuous …

During last two decades, Differential Evolution (DE) proved to be one of the most popular
and successful evolutionary algorithms for solving global optimization problems over …

As optimization algorithms have a great power to solve nonlinear, complex, and hard
optimization problems, nature-inspired algorithms have been applied extensively in distinct …

This paper presents enhanced adaptive differential evolution (EADE) algorithm for solving
high-dimensional optimization problems over continuous space. To utilize the information of …

This paper presents Differential Evolution algorithm for solving high‐dimensional
optimization problems over continuous space. The proposed algorithm, namely, ANDE …

The distribution characteristic of populations is one of the main characteristics of population.
The pattern of distribution characteristics determines the probability law of individual values …

Determining the optimum location of facilities is critical in many fields, particularly in
healthcare. This study proposes the application of a suitable location model for field …

Achieving the Saudi Kingdom's vision 2030 in the higher education sector requires higher
education institutions to make a significant simultaneous change in their current practices …

The effort devoted in introducing new numerical optimization benchmarks has attracted the
attention to develop new optimization algorithms to solve them. Very recently, a new suite on …