Initialization of metaheuristics is a crucial topic that lacks a comprehensive and systematic
review of the state of the art. Providing such a review requires in‐depth study and …

Interactive multiobjective optimization (IMO) aims at finding the most preferred solution of a
decision maker with the guidance of his/her preferences which are provided progressively …

The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power
system by considering the desired objective functions subject to system constraints …

In this paper, we develop a convolutional neural network model to predict the mechanical
properties of a two-dimensional checkerboard composite quantitatively. The checkerboard …

This paper proposes a novel optimization method for solving real-world optimization
problems. It is inspired by a cooperative human phenomenon named the mountaineering …

Whale optimization algorithm (WOA) is a recent nature-inspired metaheuristic that mimics
the cooperative life of humpback whales and their spiral-shaped hunting mechanism. In this …

Meta-heuristic algorithms are problem-solving methods which try to find good-enough
solutions to very hard optimization problems, at a reasonable computation time, where …

Cuckoo search (CS) is one of the well-known evolutionary techniques in global optimization.
Despite its efficiency and wide use, CS suffers from premature convergence and poor …

Differential evolution (DE) and particle swarm optimization (PSO) are two formidable
population-based optimizers (POs) that follow different philosophies and paradigms, which …

Niching is the technique of finding and preserving multiple stable niches, or favorable parts
of the solution space possibly around multiple optima, for the purpose of solving multimodal …