The optimization problems are becoming more complicated, requiring new and efficient
optimization techniques to solve them. Many bio-inspired meta-heuristic algorithms have …

A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …

Abstract The Firefly Algorithm (FA) is a highly efficient population-based optimization
technique developed by mimicking the flashing behavior of fireflies when mating. This article …

Fibre composite structures have become the most attractive candidate for civil engineering
applications. Fibre reinforced plastic polymer (FRP) composite materials have been used in …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

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 …

A new bio-inspired optimization technique, named Manta Ray Foraging Optimization
(MRFO) algorithm, is proposed and presented, aiming to providing a novel algorithm that …

This paper proposes a novel global optimization algorithm called Political Optimizer (PO),
inspired by the multi-phased process of politics. PO is the mathematical mapping of all the …

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

Real-world problems are complex as they are multidimensional and multimodal in nature
that encourages computer scientists to develop better and efficient problem-solving …