This paper is designed to undertake a comprehensive review on state-of-the-art maximum
power point tracking (MPPT) methods of photovoltaic (PV) systems under partial shading …

Besides those analysts who are already familiar with a number of heuristic methods, this
paper should also be of interest to those analysts and managers who, although not yet …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

A metaheuristic is a high-level problem-independent algorithmic framework that provides a
set of guidelines or strategies to develop heuristic optimization algorithms (Sörensen and …

The particle swarm optimization (PSO) is a relatively new generation of combinatorial
metaheuristic algorithms which is based on a metaphor of social interaction, namely bird …

Heuristic optimization provides a robust and efficient approach for solving complex real-
world problems. The focus of this research is on a hybrid method combining two heuristic …

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …

This paper proposes PSACO (particle swarm ant colony optimization) algorithm for highly
non-convex optimization problems. Both particle swarm optimization (PSO) and ant colony …

Over the last 15 years, hundreds of papers presenting applications of tabu search, a
heuristic method originally proposed by (1986), to various combinatorial problems have …

A hybrid method combining two algorithms is proposed for the global optimization of
multiminima functions. To localize a “promising area”, likely to contain a global minimum, it is …