Classical optimization and search algorithms are not effective for nonlinear, complex, dynam‑
ic large-scaled problems with incomplete informa‑tion. Hence, intelligent optimization …

In this paper a new meta-heuristic method, so-called Ray Optimization, is developed. Similar
to other multi-agent methods, Ray Optimization has a number of particles consisting of the …

Due to the law of reflection, a concave reflecting surface/mirror causes the incident light rays
to converge and a convex surface/mirror causes the light rays to reflect away so that they all …

Natural phenomenon can be used to solve complex optimization problems with its excellent
facts, functions, and phenomenon. In this paper, a survey on physics-based algorithm is …

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

Nature–inspired optimization techniques play an essential role in the field of image
processing. It reduces the noise and blurring of images and also improves the image …

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

Metaheuristic optimization algorithms are efficiently used in many large-scale complex
problems. Recently, a physics-based metaheuristic search and optimization method entitled …

From the early 1990s, the introduction of the term “Computational Intelligence”(CI)
highlighted the potential applicability of this field. One of the preliminary applications of the …

This book covers four optimisation techniques loosely classified as" intelligent": genetic
algorithms, tabu search, simulated annealing and neural networks.• Genetic algorithms …