This paper proposes an extension of a new concept for four-bar path generation and a new penalty constraint handling technique from our previous work to a motion generation problem.The proposed technique could neglect the timing constraint for problems without prescribed timing,which is found to be an efficient technique for a four-bar path generation problem.Later,the remaining constraints are solved with a new constraint handling technique that also gives high performance.The technique is one kind of penalty function techniques.The present work proposes to combine the previous two methods for solving the four-bar motion generation problems.The comparative study,optimisation of motion generation problems with a new and a traditional penalty techniqueare solved by using self-adaptive population size teaching-learning based optimization(SAP-TLBO),is presented.In this study,three new motion generation test problems are used to test the proposed technique.The results show that the new technique gives acceptable results and can be applied with the motion generation problems without prescribed timing.
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