In the last decade, we observe an increasing number of nature-inspired optimization
algorithms, with authors often claiming their novelty and their capabilities of acting as …

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 …

Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new
algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based …

Nature performs complex tasks in a simple yet efficient way. Natural processes may seem
straightforward from outside but are composed of several inherently complicated sub …

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the
fact that many real-world optimisation problems have become increasingly large, complex …

Nature-inspired algorithms can be flexible and efficient for solving optimization problems.
There are a wide spectrum of nature-inspired algorithms in the literature, and most of such …

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

To many people, the terms nature-inspired algorithm and metaheuristic are interchangeable.
However, this contemporary usage is not consistent with the original meaning of the term …

Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …

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