Stochastic optimization algorithms have potential to solve optimization problems in various
fields of engineering and science. However, increasing non-linearity, non convexity, multi …

This paper present the hybrid approaches of Particle Swarm Optimization (PSO) with
Genetic Algorithm (GA). PSO and GA are population based heuristic search technique which …

In order to overcome the several shortcomings of Particle Swarm Optimization (PSO) eg,
premature convergence, low accuracy and poor global searching ability, a novel Simple …

In recent years, particle swarm optimization (PSO) algorithm has been used to solve global
optimization problems. This algorithm is widely used as an effective optimization tool in …

This paper proposes an improved meta-heuristic algorithm called multivector particle swarm
optimization (MVPSO) for solving single-objective optimization problems. MVPSO improves …

Particle swarm optimizer is a well-known efficient population and control parameter-based
algorithm for global optimization of different problems. This paper focuses on a new and …

Sport is one of the activities of human being where cooperative, competitive, self-learning
and interactive environment helps in the overall improvement of the performance. These …

In this paper, a multimodal function optimization problem consisting of multiple maximums
and multiple minimums is solved using an improved particle swarm optimization (PSO) …

Particle swarm optimization (PSO) is a global optimization and nature-inspired algorithm
known for its good quality and easily applied in various real-world optimization challenges …