Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …

This article is a survey paper on solving spacecraft trajectory optimization problems. The
solving process is decomposed into four key steps of mathematical modeling of the problem …

Abstract The Slime Mould Algorithm (SMA) is a recent metaheuristic inspired by the
oscillation of slime mould. Similar to other original metaheuristic algorithms (MAs), SMA may …

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

Electricity, heating, and cooling are the three main components constituting the tripod of
energy consumption in residential, commercial, and public buildings all around the world …

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

Metaheuristic algorithms have received much attention recently for solving different
optimization and engineering problems. Most of these methods were inspired by nature or …

Optimization problems arise in various disciplines like engineering, economics, and
sciences. In view of the practical utility of these problems, there is a need for efficient and …

New metaheuristic algorithms have soared over the past ten years. A common practice in
proposing a new algorithm is validating it on several benchmark functions and engineering …

Global optimization is a very important topic in research due to its wide applications in many
real-world problems in science and engineering. Among optimization problems …