Cloud computing is an emerging technology that changes the computing world through its
power to serve the need of any user who requires better computing power over the Internet …

This paper presents a multi-population differential evolution algorithm to address dynamic
optimization problems. In the proposed approach, a cellular learning automaton adjusts the …

Recently, many dynamic optimization algorithms based on metaheuristic methods have
been proposed. Although these schemes are highly efficient in determining a single global …

Dynamic environments are still a big challenge for optimization algorithms. In this paper, a
Genetic Algorithm using both Multiploid representation and the Bayesian Decision method is …

Numerous metaheuristic-based dynamic optimization algorithms have emerged recently.
While these algorithms excel in locating a single global optimum, they fall short in identifying …

A unified co-evolutionary model was developed to study the adaptability conditions of
regional water security systems, which is important for the coordinated development of these …

Numerical optimization is one of the most active research areas and is widely used in
science, engineering, economics and industry. In numerical black box optimization, the …