This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony ...

As a result, constriction standard particle swarm optimization that we consider has a higher potential to balance exploration and exploitation. To avoid the PSO premature convergence, CSPSO modifies ...

In this study, we propose a multi-objective particle swarm algorithm-based optimal scheduling method for household microgrids. A household microgrid optimization model is formulated, taking into ...

In this contribution, the particle mutation and linearly decreasing inertia weight strategies are introduced in the conventional multiobjective particle swarm optimization (MOPSO) to increase ...

Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the literature. Although the original PSO has shown good optimization performance, it still severely ...

This work investigates the potential of the particle swarm algorithm for the optimization of detailed kinetic mechanisms. To this end, empirical analysis has been conducted to evaluate the efficiency ...

TCPSO (Two-swarm Cooperative Particle Swarm Optimization) has been proposed by Sun and Li in 2014. TCPSO divides the swarms into two groups with different migration rules, and it has higher ...

To deal with assignment problem, particle swarm optimization vector present an assignment solution, multi-person assign to multi-job problem, bin packing problem, and multi-depots vehicle scheduling ...