A novel multi-objective optimization algorithm based on artificial bee colony

Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication

Volumn , Issue , 2011, Pages 103-104

  Zou, Wenping ^a,b   Zhu, Yunlong ^a   Chen, Hanning ^a   Shen, Hai ^a,b  

^a SHENYANG INSTITUTE OF AUTOMATION   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

artificial bee colony; evolutionary algorithm; multi objective optimization; pareto front; pareto optimality

Indexed keywords

ARTIFICIAL BEE COLONIES; CONTROL PARAMETERS; FLIGHT DIRECTION; FORAGING BEHAVIORS; HONEY BEE; IN-FIELD; MULTI OBJECTIVE; MULTI-MODAL; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; MULTIDIMENSIONAL OPTIMIZATION; NONDOMINATED SOLUTIONS; NOVEL ALGORITHM; OPTIMIZATION ALGORITHMS; PARETO DOMINANCE; PARETO FRONT; PARETO-OPTIMALITY; SCIENCE AND ENGINEERING; SIMULATION RESULT; STANDARD TESTS;

EVOLUTIONARY ALGORITHMS; PARETO PRINCIPLE;

MULTIOBJECTIVE OPTIMIZATION;

EID: 80051953007     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2001858.2001917     Document Type: Conference Paper

References (5)

1. K.Deb, A.Pratap, S.Agarwal, and T.Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Trans. Evol. Comput., vol. 6, no. 2, pp.182-197, Apr. 2002
2. Joshua D. Knowles and David W. Corne. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy. Evolutionay Computation, 8(2):149-172, 2000.
3. E.Zitzler, M.Laumanns, and L.Thiele, "SPEA2: Improving the strength Pareto evolutionary algorithm," Comput. Eng. Networks Lab. (TIK), Swiss Fed. Inst. Technol. (ETH), Zurich, Switzerland, Tech. Rep. 103, May 2001.
4. J.J.Liang, A.K.Qin, P.N.Suganthan and S. Baskar, "Comprehensive learning particle swarm optimizer for global optimization of multimodal functions," IEEE Trans. Evolution Comput., vol. 10, no. 3, pp. 281-295, Jun. 2006.
5. Huang, V.L., Suganthan, P.N., Liang, J.J.: Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems. Int. J. Intell. Syst. 21(2), 209-226 (2006).