σ-self-adaptive weighted multirecombination evolution strategy with scaled weights on the noisy sphere

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5199 LNCS, Issue , 2008, Pages 11-20

  Beyer, Hans Georg ^a   Melkozerov, Alexander ^a  

^a VORARLBERG UNIVERSITY OF APPLIED SCIENCES   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL SHIFT; ELECTRIC CURRENTS; EVOLUTIONARY ALGORITHMS; MAGNETIC ANISOTROPY; PROBLEM SOLVING; SPHERES;

EVOLUTION STRATEGIES; LEARNING PARAMETERS; MULTIRECOMBINATION; OPTIMAL CHOICES; PERFORMANCE ANALYSES; SELF-ADAPTIVE; STEADY STATES; STEP SIZE ADAPTATIONS; WEIGHTED RECOMBINATIONS;

BIOELECTRIC PHENOMENA; PROBLEM SOLVING;

EVOLUTION STRATEGIES; LEARNING PARAMETERS; MULTIRECOMBINATION; OPTIMAL CHOICE; PERFORMANCE ANALYSIS; SELF ADAPTATION; STEADY-STATE BEHAVIORS; STEP-SIZE ADAPTATIONS;

EID: 56449091354     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87700-4_2     Document Type: Conference Paper

References (10)

1. Beyer, H.-G., Melkozerov, A.: Mutative σ-Self-Adaptation Can Beat Cumulative Step Size Adaptation when Using Weighted Recombination. In: GECCO 2008: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, Atlanta, GA, USA. ACM Press, New York (accepted, 2008)
2. Arnold, D.V.: Weighted Multirecombination Evolution Strategies. Theoretical Computer Science 361(1), 18-37 (2006)
3. Rechenberg, I.: Evolutionsstrategie 1994. Frommann-Holzboog, Stuttgart (1994)
4. Hansen, N., Ostermeier, A.: Completely Derandomized Self-Adaptation in Evolution Strategies. Evolutionary Computation 9(2), 159-195 (2001)
5. Hansen, N., Müller, S., Koumoutsakos, P.: Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES). Evolutionary Computation 11(1), 1-18 (2003)
6. Beyer, H.-G., Sendhoff, B.: Covariance Matrix Adaptation Revisited - the CMSA Evolution Strategy. In: Rudolph, G., et al. (eds.) Parallel Problem Solving from Nature 10. LNCS, vol. 5199. Springer, Heidelberg (2008)
7. Beyer, H.-G.: The Theory of Evolution Strategies. Natural Computing Series. Springer, Heidelberg (2001)
8. Meyer-Nieberg, S.: Self-Adaptation in Evolution Strategies. PhD Thesis, University of Dortmund, CS Department, Dortmund, Germany (2007)
9. I, λ)-ES in a Noisy Environment. In: Martin, W., Spears, W. (eds.) Foundations of Genetic Algorithms, vol. 6, pp. 127-141. Morgan Kaufmann, San Francisco (2001)
10. Meyer-Nieberg, S., Beyer, H.-G.: On the Analysis of Self-Adaptive Recombination Strategies: First Results. In: Proceedings of the CEC 2005 Conference, pp. 2341-2348. IEEE, Piscataway (2005)