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 work presents a novel nature-inspired metaheuristic called Nutcracker Optimization
Algorithm (NOA) inspired by Clark's nutcrackers. The nutcrackers exhibit two distinct …

Chameleon swarm algorithm (CSA) is a newly proposed swarm intelligence algorithm
inspired by the chameleon's foraging strategies of tracking, searching and attacking targets …

Over the past years, many efforts have been accomplished to achieve fast and accurate
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …

Nature-inspired optimization algorithms, especially swarm based algorithms (SAs), solve
many scientific and engineering problems due to their flexibility and simplicity. These …

Abstract Archimedes Optimization Algorithm (AOA) is a new physics-based optimizer that
simulates Archimedes principles. AOA has been used in a variety of real-world applications …

Global optimization solves real-world problems numerically or analytically by minimizing
their objective functions. Most of the analytical algorithms are greedy and computationally …

This paper proposes a novel swarm intelligence-based metaheuristic called as sea-horse
optimizer (SHO), which is inspired by the movement, predation and breeding behaviors of …

In this paper, a novel hybrid metaheuristic optimization algorithm which is based on Particle
Swarm Optimization (PSO) and recently developed Spotted Hyena Optimizer (SHO) named …

In real-world applications, most optimization problems contain constraints (ranging from
physical, time, geometric, design etc.) which need to be satisfied while finding an optimal …