Performance Analysis of the (1+1) Evolutionary Algorithm for the Multiprocessor Scheduling Problem

Author:

Zhou Yuren,Zhang Jun,Wang Yong

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,General Computer Science

Reference35 articles.

1. Bäck, T.: Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press, Oxford (1996)

2. Rudolph, G.: Convergence Properties of Evolutionary Algorithms. Hamburg Kovac, Hamburg (1997)

3. Oliveto, P.S., He, J., Yao, X.: Time complexity of evolutionary algorithms for combinatorial optimization: a decade of results. Int. J. Autom. Comput. 4(3), 281–293 (2007)

4. Neumann, F., Witt, C.: Bioinspired Computation in Combinatorial Optimization - Algorithms and Their Computational Complexity. Springer, New York (2010)

5. Karlin, S., Taylor, H.M.: A First Course in Stochastic Processes, 2nd edn. Academic Press, New York (1975)

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