Abstract Ant Colony Optimization (ACO) algorithm is one of the effective solutions to solve
the problem of combination optimization like traveling salesman problem (TSP) which …

Multilevel image thresholding is a very important image processing technique that is used as
a basis for image segmentation and further higher level processing. However, the required …

Portfolio selection (optimization) problem is a very important and widely researched problem
in the areas of finance and economy. Literature review shows that many methods and …

Portfolio optimization (selection) problem is an important and hard optimization problem that,
with the addition of necessary realistic constraints, becomes computationally intractable …

Artificial bee colony (ABC) is a quite popular optimization approach that has been used in
many fields, with its not only standard form but also improved versions. In this paper, new …

Metaheuristic algorithms (MHs) have a long history that can be traced back to genetic
algorithms and evolutionary computing in the 1950s. Since February 2008, with the birth of …

With the highly increasing demand in engineering, traditional algorithms may fail to meet
required performances. Recently, intelligent algorithms have been widely studied, gradually …

Seeker optimization algorithm is one of the recent swarm intelligence metaheuristics for hard
optimization problems. It is based on the human group search behavior and it was …

Multilevel image thresholding is a technique widely used in image processing, most often for
segmentation. Exhaustive search is computationally prohibitively expensive since the …

The traveling salesman problem (TSP) is one of the most important issues in combinatorial
optimization problems that are used in many engineering sciences and has attracted the …