To address the problem of the sparrow search algorithm (SSA) has poor global search
ability, weak local development ability, and easily falls into the local optimal solution, a multi …

This paper concerns several important topics of the Symmetry journal, namely, pattern
recognition, computer-aided design, diversity and similarity. We also take advantage of the …

Recently, a new category of problems known as multi-factorial optimization (MFO) is gaining
momentum in the field of evolutionary computation (EC). This paper aims at improving the …

Energy optimization is essential in the pursuit of a more sustainable future. In this research
paper we describe implementation and comparison of optimization algorithms for reducing …

Abstract The Grey Wolf Optimizer (GWO) is a relatively new metaheuristic approach that has
shown promising results in solving continuous optimization problems. The Grey Wolf …

Abstract Asynchronous Finite Impulse Response Optimizer (AFIRO) is a metaheuristic
algorithm that has been developed as a population-based solution with an asynchronous …

Since timetable scheduling is a discrete NP-Hard problem, it becomes a complicated case to
be solved by a heuristic approach. Gravitational Search Algorithm (GSA) was developed …

Optimization problems are frequently found in various fields. The classification of estimation-
based metaheuristic algorithms has been introduced for solving optimization problems …