Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels

In this paper, a modified Particle Swarm Optimisation (PSO) algorithm is presented to improve the performance of multi-objective optimisation. The PSO algorithm search capabilities are enhanced via the inclusion of the adaptive inertia weight and acceleration factor. In addition, a weighted aggregat...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Mahfouf, Mahdi, Chen, Min-You, Linkens, Derek Arthur
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Inertia Weight Learning and adaptive systems Modify Particle Swarm Optimisation Pareto Front Pareto Solution Particle Swarm Optimisation Algorithm Theoretical computing
Online-Zugang:	Volltext
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