Speeding up global optimization with the help of intelligent supervisors

Author:

Pawiński Grzegorz,Sapiecha Krzysztof

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference41 articles.

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2. Alvarez-Valdes R, Tamarit JM (1989) Heuristic algorithms for resource-constrained project scheduling: a review and an empirical analysis. In: Advances in project scheduling, vol 9. Elsevier, Amsterdam, pp 113–134

3. Banzhaf W (1994) Genotype-phenotype-mapping and neutral variationa case study in genetic programming. In: Parallel problem solving from naturePPSN III. Springer, pp 322– 332

4. Bouleimen K, Lecocq H (2003) A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version. Eur J Oper Res 149(2):268–281. http://linkinghub.elsevier.com/retrieve/pii/S0377221702007610

5. Deiranlou M, Jolai F (2009) A new efficient genetic algorithm for project scheduling under resource constrains. World Appl Sci J 7(8):987–997

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