Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

Test functions are important to validate and compare the performance of optimisation
algorithms. There have been many test or benchmark functions reported in the literature; …

This study proposes a bald eagle search (BES) algorithm, which is a novel, nature-inspired
meta-heuristic optimisation algorithm that mimics the hunting strategy or intelligent social …

Genetic Algorithms are heuristic search approaches that are applicable to a wide range of
optimization problems. This flexibility makes them attractive for many optimization problems …

While evolutionary computation and evolutionary robotics take inspiration from nature, they
have long focused mainly on problems of performance optimization. Yet, evolution in nature …

In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …

This article introduces differentiated creative search (DCS), a groundbreaking optimization
algorithm that revolutionizes traditional decision-making systems in complex environments …

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all
major nature-inspired algorithms for optimization. The book's unified approach, balancing …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

Evolution has provided a source of inspiration for algorithm designers since the birth of
computers. The resulting field, evolutionary computation, has been successful in solving …