A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms

GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

Volumn , Issue , 2008, Pages 1723-1724

  Sharma, Deepak ^a   Deb, Kalyanmoy ^a   Kishore, N N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

Author keywords

Compliant mechanisms; GA; Helper objective

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; GALLIUM; GENETIC ALGORITHMS; MECHANISMS;

BI-OBJECTIVE OPTIMIZATION; CROSSOVER OPERATOR; HELPER OBJECTIVE; NONDOMINATED SOLUTIONS; OPTIMIZATION ALGORITHMS; OPTIMIZATION PROBLEMS; PROBLEM FORMULATION; SINGLE OBJECTIVE OPTIMIZATION PROBLEMS;

COMPLIANT MECHANISMS;

EID: 57349187965     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1389095.1389428     Document Type: Conference Paper

References (5)

1. K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan. A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2): 182-197, 2002.
2. K. Deb and S. Chaudhuri. Automated discovery of innovative designs of mechanical components using evolutionary multiobjective algorithms. In N. Nedjah and L. de Macedo M, editors, Evolutionary Machine Design: Methodology and Applications, chapter 6, pages 143-168. Nova Science Publishers, Inc, New York, 2005.
3. D. Sharma, K. Deb, and N. N. Kishore. Evolving path generation compliant mechanisms (PGCM) using local-search based multi-objective genetic algorithm. In International Conference on Trends in Product Life Cycle, Modeling, Simulation and Synthesis (PLMSS), pages 227-238, December 2006.
4. D. Sharma, K. Deb, and N. N. Kishore. A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms. Technical Report KanGAL Report No.2008001., Indian Institute of Technology Kanpur, India, 2008.
5. D. Sharma, K. Deb, and N. N. Kishore. Towards generating diverse topologies of path tracing compliant mechanisms using a local search based multi-objective genetic algorithm procedure. Accepted in 2008 IEEE World Congress on Computational Intelligence (WCCI) Conference, 2008.