Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …

Most real-world problems involve some type of optimization problems that are often
constrained. Numerous researchers have investigated several techniques to deal with …

Abstract In this paper, Remora Optimization Algorithm (ROA) is proposed, which is a new
bionics-based, natural-inspired, and meta-heuristic algorithm. The inspiration for ROA is …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

This paper introduces a novel physical-inspired metaheuristic algorithm called “Light
Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the …

Most evolutionary optimization algorithms assume that the evaluation of the objective and
constraint functions is straightforward. In solving many real-world optimization problems …

This book focuses on both theory and application of evolutionary algorithms and artificial
neural networks. An attempt is made to make a bridge between these two fields with an …

This paper proposes an optimisation algorithm called Grasshopper Optimisation Algorithm
(GOA) and applies it to challenging problems in structural optimisation. The proposed …

This paper proposes a novel nature-inspired meta-heuristic optimization algorithm, called
Whale Optimization Algorithm (WOA), which mimics the social behavior of humpback …

Artificial Neural Network Architectures and Training Processes | SpringerLink Skip to main
content Advertisement Springer Nature Link Account Menu Find a journal Publish with us …