Multi-Objective Modified Firefly Algorithm for Optimum Synthesis of Path Generating Mechanism

Abstract

A new multi-objective algorithm Multi-Objective Modified Firefly Algorithm (MOMFA) is proposed in the study The new algorithm combines the convergence operator by using Modified Firefly Algorithm with the distributing method modifying ?-dominance method To demonstrate the converging and distributing ability seven testing problems are performed By comparing the new algorithm with four other multi-objective algorithms that include Multiple Objective Particle Swarm Optimizer Multi-Objective Ant Lion Optimization Multi-Objective Evolutionary Algorithm Based on Decomposition and Nondominated Sorting Genetic Algorithm III several features for algorithms could be distinguished and summarized In the mechanism synthesis problems three gaits that are generated from one existing eight-bar reconfigurable mechanism set to demonstrate the effectiveness of the proposed MOMFA Further the study uses three manually designed gaits on six-bar mechanism synthesis problem to identify the searching ability for the proposed algorithm with unknown mechanism’s dimension The results show that MOMFA is able to produce better solutions regarding convergence and distribution compared to other algorithms

Date of Award	2019
Original language	English
Supervisor	Chih-Hsing Liu (Supervisor)