More than a decade after the first extensive overview on parameter control, we revisit the
field and present a survey of the state-of-the-art. We briefly summarize the development of …

Differential Evolution (DE) is a simple and efficient optimizer, especially for continuous
optimization. For these reasons DE has often been employed for solving various …

Microgrid systems, such as solar photovoltaic (PV) power and wind energy, integrated with
diesel generators are promising energy supplies and are economically feasible for current …

Differential evolution (DE) is a population-based metaheuristic search algorithm that
optimizes a problem by iteratively improving a candidate solution based on an evolutionary …

In the last few decades, genetic algorithms (GAs) demonstrated to be an effective approach
for solving real-world optimization problems. However, it is known that, in presence of a …

The whale optimization algorithm (WOA) is a new bio-inspired meta-heuristic algorithm
which is presented based on the social hunting behavior of humpback whales. WOA suffers …

Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter
optimization algorithms in current use. DE operates through similar computational steps as …

In their original versions, nature-inspired search algorithms such as evolutionary algorithms
and those based on swarm intelligence, lack a mechanism to deal with the constraints of a …

A new differential evolution (DE) algorithm, JADE, is proposed to improve optimization
performance by implementing a new mutation strategy ldquoDE/current-to-p bestrdquo with …

Chimp optimization algorithm (ChOA) is a newly proposed meta-heuristic algorithm inspired
by chimps' individual intelligence and sexual motivation in their group hunting. The …