Multi-swarm-based parallel spider monkey optimization algorithm
L Belaiche, L Kahloul, M Houimli… - … Advanced Aspects of …, 2022 - ieeexplore.ieee.org
Particle swarm optimization (PSO) algorithms face performance challenges, which lean on
improving solutions quality, speed-up, dealing with large-scale problems, and exploitation of …
improving solutions quality, speed-up, dealing with large-scale problems, and exploitation of …
[PDF][PDF] An efficient parallel version of dynamic multi-objective evolutionary algorithm
Multi-Objective Optimization Evolutionary Algorithms (MOEAs) belong to heuristic methods
proposed for solving Multi-objective Optimization Problems (MOPs). In fact, MOEAs search …
proposed for solving Multi-objective Optimization Problems (MOPs). In fact, MOEAs search …
Parallel Multi-Objective Evolutionary Algorithm for Constrained Multi-Objective Optimization
Most real-world problems aim at achieving multiple objectives under a pool of constraints.
Generally, the objectives of this problem category are contradictory. These problems are …
Generally, the objectives of this problem category are contradictory. These problems are …
Fault-tolerance optimization of reconfigurable manufacturing systems: Multi-objective artificial bee colony algorithm for process planning
A reconfigurable manufacturing system (RMS) is a modern manufacturing system class that
aims to provide functionality and capacity as and when needed. Reconfigurable machine …
aims to provide functionality and capacity as and when needed. Reconfigurable machine …