Over past few decades, families of algorithms based on the intelligent group behaviors of
social creatures like ants, birds, fishes, and bacteria have been extensively studied and …

Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs)
have been developed and widely used for solving optimization problems. When applied to …

Military unmanned aerial vehicles (UAVs) are employed in highly dynamic environments
and must often adjust their trajectories based on the evolving situation. To operate …

The objective of image contrast enhancement is to improve the contrast level of images,
which are degraded during image acquisition. Image contrast enhancement is considered …

Data clustering is related to the split of a set of objects into smaller groups with common
features. Several optimization techniques have been proposed to increase the performance …

Solving optimization problems with parallel algorithms has a long tradition in OR. Its future
relevance for solving hard optimization problems in many fields, including finance, logistics …

Metaheuristics have been showing interesting results in solving hard optimization problems.
However, they become limited in terms of effectiveness and runtime for high dimensional …

Abstract The MAX–MIN Ant System (MMAS) is one of the best-known Ant Colony
Optimization (ACO) algorithms proven to be efficient at finding satisfactory solutions to many …

Swarm Intelligence (SI) algorithms are frequently applied to tackle complex optimization
problems. SI is especially used when good solutions are requested for NP hard problems …

With the digitization of the entire world and huge requirements of understanding unknown
patterns from the data, clustering becomes an important research area. The quick and …