Joshua D. Knowles, Richard A. Watson, and David W. Corne. Reducing Local Optima in Single-Objective Problems by Multi-objectivization. In E. Zitzler, K. Deb, L. Thiele, C.A. Coello Coello, and D. Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, volume 1993 of LNCS, pages 268--282. Springer-Verlag, 2001. Home/Search Document Details and Download
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Searching Under Multi-Evolutionary Pressures - Abbass, Deb (2003) (1 citation) (Correct)
....the program size, which is an implicit diversity preserving mechanism. However, as the authors compare a number of di#erent techniques, it is di#cult to isolate the contribution of the multiobjective component from other evolutionary operators in the evolutionary method. Knowles and Corne [8] also proposed the use of multiobjective optimization to solve single objective problems. They have shown that the multiobjective approach reduces the number of local optimum. However, their approach requires either decomposing the original objective or the decision space. Apart from the fact that ....
J. Knowles and D. Corne. Reducing local optima in single-objective problems by multi-objectivization. In First International Conference on Evolutionary Multicriterion Optimization (EMO'01), pages 269--283. Springer-Verlag, 2001.
A Puzzle to Challenge Genetic Programming - Burke, Gustafson, Kendall (2002) (Correct)
....Fitness Function. It seems logical from our study here that the tness of simply win or loss is not fully e ective in driving the evolutionary search. Thus, as done with the Royal Tree problem, a tness which incorporates other aspects of the game may need to be included. Knowles et al. [15] method of representing single objective functions as multiobjective ones may be a possibility. Other objectives that group losses together or maximize individual correct bit guesses may be helpful. Island Model Approach. Results also indicate a diculty of the evolutionary search to break out of ....
J.D. Knowles, R.A. Watson, and D.W. Corne. Reducing Local Optima in SingleObjective Problems by Multi-objectivization. In E. Zitzler et al, editor, First International Conference on Evolutionary Multi-Criterion Optimization, pages 268-282. Springer-Verlag. LNCS no.
Local-Search and Hybrid Evolutionary Algorithms for Pareto.. - Knowles (2002) (7 citations) Self-citation (Knowles) (Correct)
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Joshua D. Knowles, Richard A. Watson, and David W. Corne. Reducing local optima in single-objective problems by multi-objectivization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, Evolutionary Multi-Criterion Optimization : rst international conference; proceedings / EMO 2001, volume 1993 of LNCS, pages 269-283. Springer, 2001.
Learning the Ideal Evaluation Function - De Jong (2003) (Correct)
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Joshua D. Knowles, Richard A. Watson, and David W. Corne. Reducing Local Optima in Single-Objective Problems by Multi-objectivization. In E. Zitzler, K. Deb, L. Thiele, C.A. Coello Coello, and D. Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, volume 1993 of LNCS, pages 268--282. Springer-Verlag, 2001.
Pareto Evolutionary Neural Networks - Jonathan Fieldsend Member (Correct)
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J. Knowles, R. Watson, and D. Corne, "Reducing Local Optima in Single-Objective Problems by Multi-objectivization," in First International Conference on Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science, E. Zitzler, K. Deb, L. Thiele, C. C. Coello, and D. Corne, Eds., no. 1993.
The Influence of the Fitness Evaluation Method on the.. - Burke, Silva (2004) (Correct)
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Knowles J.D., Watson R.A., Corne D.W. Reducing Local Optima in Single-Objective Problems by Multi-Objectivization. Proceedings of the 1st International Conference on Evolutionary Multi-Criterion Optimization (EMO 2001.
Improving the Performance of Trajectory-Based Multiobjective.. - Burke, Silva (2002) (Correct)
No context found.
Knowles J.D., Watson R.A., Corne D.W., Reducing Local Optima in Single-Objective Problems by Multi-Objectivization, Proceedings of the 1st International Conference on Evolutionary Multi-Criterion Optimization EMO 2001.
Learning the Ideal Evaluation Function - Edwin De Jong (2003) (Correct)
No context found.
Joshua D. Knowles, Richard A. Watson, and David W. Corne. Reducing Local Optima in Single-Objective Problems by Multi-objectivization. In E. Zitzler, K. Deb, L. Thiele, C.A. Coello Coello, and D. Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, volume 1993 of LNCS, pages 268--282. Springer-Verlag, 2001.
Improving the Performance of Trajectory-Based Multiobjective.. - Burke, Silva (Correct)
No context found.
Knowles J.D., Watson R.A., Corne D.W., Reducing Local Optima in Single-Objective Problems by Multi-Objectivization, Proceedings of the 1st International Conference on Evolutionary Multi-Criterion Optimization EMO 2001.
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