Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives
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 …
gained prominence in the last two decades due to its ease of application in unsupervised …
Putting continuous metaheuristics to work in binary search spaces
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 …
restricted to take binary values; however, there are many continuous metaheuristics with …
Major advances in particle swarm optimization: theory, analysis, and application
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 …
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems
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 …
task. To deal with the complexity associated with this problem, a sophisticated and robust …
Topology optimization for electromagnetics: A survey
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 …
materials, is offering the possibility of producing parts with complex geometries. This opens …
Invasive weed optimization and its features in electromagnetics
A new numerical stochastic optimization algorithm, inspired from colonizing weeds, is
proposed for Electromagnetic applications. This algorithm, invasive weed optimization …
proposed for Electromagnetic applications. This algorithm, invasive weed optimization …
Improved fruit-fly optimization algorithm and its applications in antenna arrays synthesis
Synthesizing antenna arrays is one of the most influential optimization problems in the
electromagnetics community. In this paper, an improved fruit-fly optimization algorithm …
electromagnetics community. In this paper, an improved fruit-fly optimization algorithm …
Particle swarm optimisation for discrete optimisation problems: a review
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 …
problems are more challenging than those problems with pure continuous variables. Among …
Velocity bounded boolean particle swarm optimization for improved feature selection in liver and kidney disease diagnosis
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 …
Computer Aided Diagnostic system plays an important role in the detection of cancer …
Position mutated hierarchical particle swarm optimization and its application in synthesis of unequally spaced antenna arrays
A family of position mutated hierarchical particle swarm optimization algorithms with time
varying acceleration coefficients (viz. PM_nHPSO-TVAC, n= 1, 2, 3, 4) is introduced in this …
varying acceleration coefficients (viz. PM_nHPSO-TVAC, n= 1, 2, 3, 4) is introduced in this …