Memetic computing is a subject in computer science which considers complex structures
such as the combination of simple agents and memes, whose evolutionary interactions lead …

Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …

Distribution system optimisation is defined as satisfying the demand of the system in the
most economical, reliable and environment-friendly way while all the related operational or …

Differential evolution (DE) is one of the most popular and efficient evolutionary algorithms for
numerical optimization and it has gained much success in a series of academic benchmark …

In population-based optimization algorithms (POAs), given an optimization problem, the
quality of the solutions depends heavily on the selection of algorithms, strategies and …

Abstract According to the “No Free Lunch (NFL)” theorem, there is no single optimization
algorithm to solve every problem effectively and efficiently. Different algorithms possess …

Artificial bee colony (ABC) is a recently proposed optimization technique which has shown
to be competitive to other population-based stochastic algorithms. However, ABC is good at …

Particle swarm optimization (PSO) is a population-based stochastic search technique for
solving optimization problems over continuous space, which has been proven to be efficient …

The cuckoo search algorithm (CS) is a simple and effective global optimization algorithm. It
has been applied to solve a wide range of real-world optimization problem. In this paper, the …

Nowadays, more and more optimization techniques are used to deal with complex
engineering optimization problems. Firefly algorithm (FA) inspired by the flash …