As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

The development of computer aid models for heavy metals (HMs) simulation has been
remarkably advanced over the past two decades. Several machine learning (ML) models …

This paper proposes a new metaheuristic algorithm called dwarf mongoose optimization
algorithm (DMO) to solve the classical and CEC 2020 benchmark functions and 12 …

This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization
Algorithm (COA), which simulates crayfish's summer resort behavior, competition behavior …

This study proposes the Fire Hawk Optimizer (FHO) as a novel metaheuristic algorithm
based on the foraging behavior of whistling kites, black kites and brown falcons. These birds …

Meta-heuristic algorithms are becoming more prevalent and have been widely applied in
various fields. There are numerous reasons for the success of such techniques in both …

Abstract In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic
algorithm inspired by advanced physics principles regarding stability and different modes of …

In an organization, a group of people working for a common goal may not achieve their goal
unless they organize themselves in a hierarchy called Corporate Rank Hierarchy (CRH) …

This paper proposes a novel global optimization algorithm called Political Optimizer (PO),
inspired by the multi-phased process of politics. PO is the mathematical mapping of all the …

Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …