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

Activity-based scheduling optimization is a combinatorial problem built on the traveling
salesman problem intending to optimize people schedules considering their trips and the …

This paper introduces a new metaheuristic algorithm named the Osprey Optimization
Algorithm (OOA), which imitates the behavior of osprey in nature. The fundamental …

An original swarm-based, bio-inspired metaheuristic algorithm, named electric eel foraging
optimization (EEFO) is developed and tested in this work. EEFO draws inspiration from the …

Attempting to address optimization problems in various scientific disciplines is a
fundamental and significant difficulty requiring optimization. This study presents the …

The development of efficient optimization algorithms is crucial across various scientific
disciplines. As the complexity and diversity of optimization problems continue to grow …

In this paper, a novel and powerful metaheuristic optimizer, named the growth optimizer
(GO), is proposed. Its main design inspiration originates from the learning and reflection …

This article's innovation and novelty are introducing a new metaheuristic method called
mother optimization algorithm (MOA) that mimics the human interaction between a mother …

Due to the global progress, the optimization problems are becoming more and more
complex. Hence, deterministic and heuristic approaches are no longer adequate for dealing …

This paper presents a new evolutionary-based approach called a Subtraction-Average-
Based Optimizer (SABO) for solving optimization problems. The fundamental inspiration of …