Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has
gained prominence in the last two decades due to its ease of application in unsupervised …

In the real world, there are a number of optimization problems whose search space is
restricted to take binary values; however, there are many continuous metaheuristics with …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

The development of technologies for the additive manufacturing, in particular of metallic
materials, is offering the possibility of producing parts with complex geometries. This opens …

In the feature selection process, reaching the best subset of features is considered a difficult
task. To deal with the complexity associated with this problem, a sophisticated and robust …

A new numerical stochastic optimization algorithm, inspired from colonizing weeds, is
proposed for Electromagnetic applications. This algorithm, invasive weed optimization …

Synthesizing antenna arrays is one of the most influential optimization problems in the
electromagnetics community. In this paper, an improved fruit-fly optimization algorithm …

In many optimisation problems, all or some of decision variables are discrete. Solving such
problems are more challenging than those problems with pure continuous variables. Among …

Cancer is one of the foremost causes of death and can be reduced by early diagnosis.
Computer Aided Diagnostic system plays an important role in the detection of cancer …

In this paper, a novel hybrid multi-objective optimization algorithm based on the
nondominated sorting genetic algorithm II for large array thinning is presented. The iterative …