Recently, in many experimental studies, the statistical analysis of nonparametric comparisons has grown in the area of computational intelligence. The research refers to application of different techniques that are used ...

Particle swarm optimization (PSO) is a heuristic global optimization method, which is based on swarm intelligence. It is inspired by the research on the bird and fish flock movement behavior. The algorithm is widely used ...

Edges in an image characterize object boundaries in an image, which is helpful in image processing and feature extraction in a particular scene. One of the methods used to detect edges in an image is image thresholding, ...

The field of nature inspired computing and optimization techniques have evolved to solve the difficult optimization problems in diverse fields of engineering, science and technology. The Firefly algorithm is one of the ...

Over recent years, Evolutionary Algorithms have emerged as a practical approach to solve hard optimization problems in the fields of Science and Technology. The inherent advantage of EA over other types of numerical ...

Over recent years, Evolutionary Algorithms (EA) have emerged as a practical approach to solve hard optimization problems presented in real life. The inherent advantage of EA over other types of numerical optimization methods ...

The Strength Pareto Evaluation Algorithm (SPEA) (Zitzler and Thiele 1999) is one of the prominent technique for approximating the pareto-optimal set for the Multiple Objective Optimization (MOO) algorithm. The Strength ...

Some of the best optimization solutions were inspired by nature. Clonal selection algorithm is a technique that was inspired from genetic behavior of the immune system, and is widely implemented in the scientific and ...

Particle Swarm Optimization (PSO) has received attention in many research fields and real-world applications for solving optimization problems in the areas of intelligent transportation systems, wireless sensor networks, ...

PSO is a population based evolutionary algorithm and is motivated from the simulation of social behavior, which differs from the natural selection scheme of genetic algorithms. It is an optimization technique based on swarm ...