For solving knapsack problem (KP) with binary particle swarm optimization, this paper firstly proposes a new greedy transform method and gives a kind of effecti ...

2 Department of Applied Mathematics, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable ...

This paper proposes a modified particle swarm optimization based on the combining attractive and repulsive operator with function stretching technique (for short MPSOwARS). This new algorithm utilizes ...

Multi-objective optimization minimizes fuel costs and pollution emissions without violating operational constraints. To solve this problem, the MOP is decomposed into individual objects via the ...

Particle Swarm Optimization (PSO) is a computational method inspired by the behavior of bird flocks or fish schools. It is used to solve optimization problems, which involve finding the best solution ...

This Python simulation employs Particle Swarm Optimization (PSO) to model the exploration of an unknown environment by a swarm of robots. The robots aim to converge on the global best position, ...