Nowadays, as industries and real-life routines face more and more complicated problems,
there is a special need for stronger computation techniques with the ability of providing fast …

Nature-inspired computing provides promising and effective approaches for problem solving
in optimization, machine intelligence, data mining and resource management. Nature has …

Meta-heuristics are considered well-known problem-solving techniques under incomplete
information and/or insufficient knowledge about the problem under consideration. Meta …

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a
comprehensive introduction to the methodologies and algorithms in nature-inspired …

Nature-inspired Algorithms are getting more and more popular in the past few decades
owing to their amazing successes in solving a number of real-world optimization problems in …

This chapter focuses the light on new research trends. It discusses classifications of the
nature-inspired algorithms and presents a brief list of algorithms followed by several different …

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 …

Many problems in science and engineering can be formulated as optimization problems,
subject to complex nonlinear constraints. The solutions of highly nonlinear problems usually …

Optimization is everywhere, from engineering design and business planning to data mining
and industrial applications. However, many optimization problems are very challenging to …

Background: Nature-Inspired Algorithms (NIAs) are the most efficient way to solve advanced
engineering and real-world optimization problems. Since the last few decades, various …