Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving
some optimization problems, it faces many issues. Thus, WOA has attracted scholars' …

In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

This study presents a novel physics-based metaheuristic algorithm called Kepler
optimization algorithm (KOA), inspired by Kepler's laws of planetary motion to predict the …

This study proposes a new metaheuristic algorithm called sand cat swarm optimization
(SCSO) which mimics the sand cat behavior that tries to survive in nature. These cats are …

Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …

This paper presents a novel bio-inspired optimization algorithm called Coronavirus
Optimization Algorithm (COVIDOA). COVIDOA is an evolutionary search strategy that mimics …

Abstract This paper proposes Improved Colliding Bodies Optimization (ICBO) algorithm to
solve efficiently the optimal power flow (OPF) problem. Several objectives, constraints and …

The main goal of this paper is to study the performance of the Grey Wolf Optimizer (GWO)
algorithm when a new hierarchical operator is introduced in the algorithm. This new operator …

Abstract Central Force Optimization (CFO) is a new deterministic multi-dimensional search
metaheuristic based on the metaphor of gravitational kinematics. It models" probes" that" fly" …

The grey wolf optimizer (GWO) is a well-known nature-inspired algorithm, which shows a
sufficient performance for solving various optimization problems. However, it suffers from low …