Swarm intelligence (SI) algorithms represent a class of Artificial Intelligence (AI) optimization
metaheuristics used for solving complex optimization problems. However, a key challenge in …

Optimization is a searching technique by which we can find the best solution from all the
feasible solutions. There are two types of optimization problems depending up on the type of …

The Sine-Cosine algorithm (SCA) is a population-based metaheuristic algorithm utilizing
sine and cosine functions to perform search. To enable the search process, SCA …

This work presents a new nature-inspired meta-heuristic algorithm named spider wasp
optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating …

A large number of computational intelligence algorithms are proposed every year and their
performance is usually demonstrated on a cross-section of problems which may not provide …

The sine cosine algorithm (SCA) and multi-verse optimizer (MVO) are the recognized
optimization strategies frequently employed in numerous scientific areas. However, both …

This paper proposes a Sine Cosine hybrid optimization algorithm with Modified Whale
Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA …

Aiming at the shortcomings of seagull optimization algorithm in the process of searching for
optimization, such as slow convergence speed, low precision, easy falling into local optimal …

With the advancement of science and technology, new complex optimization problems have
emerged, and the achievement of optimal solutions has become increasingly important …

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