Hybrid local search techniques for the resource-constrained project scheduling problem /
This paper proposes alocal search algorithm that makes use of a complex neighborhood relation based on a hybridization with a constructive heuristics for the classical resource-constrained project scheduling problem (RCPSP). We perform an experimental analysis to tune the parameters of our algorithm...
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Format: | Book Chapter |
Jezik: | English |
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Hybrid metaheuristics |
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LEADER | 01630naa a2200229 ib4500 | ||
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001 | 15719688 | ||
003 | SI-MaCOB | ||
005 | 20080130000000.0 | ||
008 | 080104s2007 gw ||||f||||||||| ||eng c | ||
040 | |a PEFMB |b slv |c SI-MaIIZ |d PEFMB |e ppiak | ||
041 | 0 | |a eng |b eng | |
080 | |a 519.8 | ||
100 | 1 | |a Pesek, Igor. |4 aut | |
245 | 0 | 0 | |a Hybrid local search techniques for the resource-constrained project scheduling problem / |c Igor Pesek, Andrea Schaerf, and Janez Žerovnik. |
300 | |a Str. 57-68. | ||
504 | |a Bibliografija: str. 67-68. | ||
520 | |a This paper proposes alocal search algorithm that makes use of a complex neighborhood relation based on a hybridization with a constructive heuristics for the classical resource-constrained project scheduling problem (RCPSP). We perform an experimental analysis to tune the parameters of our algorithm and to compare it with-a tabu search based on a combination of neighborhood relations borrowed from the literature. Finally, we show that our algorithm is also competitive with the ones reported in the literature. | ||
653 | 0 | |a informacijski sistemi |a kombinatorična optimizacija |a verjetnostni algoritem |a planiranje z omejenimi viri |a hevristika |a optimizacija procesov |a primerjalne analize | |
653 | 0 | |a combinatorial optimization |a randomized heuristics |a resource constrained scheduling |a heuristics |a initial solution |a best insertion algorithm | |
700 | 1 | 2 | |a Schaerf, Andrea. |4 aut |
700 | 1 | 2 | |a Žerovnik, Janez, |d 1958- |4 aut |
773 | 0 | |a HM 2007 (2007 : Dortmund) |t Hybrid metaheuristics |d Berlin ; Heidelberg ; New York : Springer, cop. 2007 |w 15719432 |z 9783540755135 |x 0302-9743 |g Str. 57-68 |