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Titlebook: Metaheuristics for Scheduling in Industrial and Manufacturing Applications; Fatos Xhafa,Ajith Abraham Book 2008 Springer-Verlag Berlin Hei

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31#
發(fā)表于 2025-3-26 22:22:57 | 只看該作者
álvaro García-Sánchez,Luis Miguel Arreche,Miguel Ortega-Mieron-driven flow is limited by the volume of pore water present in the underlying sedimentary sequence. The flow rates and total fluxes produced by compaction are very small and generally are lower than the sedimentation rate, except on a very local scale. The potential for mass transport by such flow
32#
發(fā)表于 2025-3-27 02:07:59 | 只看該作者
Ajith Abraham,Hongbo Liu,Mingyan Zhaors increased not only because of rock-water interaction, but also because of mixing with brines derived from underlying Paleozoic carbonates. The oxygen isotopic compositions of late diagenetic minerals indicate crystallization during regional, gravity-driven flow of meteoric water that was initiate
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發(fā)表于 2025-3-27 06:34:56 | 只看該作者
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發(fā)表于 2025-3-27 10:31:54 | 只看該作者
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發(fā)表于 2025-3-27 16:03:45 | 只看該作者
Scatter Search Algorithms for Identical Parallel Machine Scheduling Problems, survey the current state of the art for the most performing meta-heuristic algorithms for this class of problems, with special emphasis on recent results obtained through Scatter Search. We present insights in the development of this heuristic technique, and discuss the combinatorial difficulties o
36#
發(fā)表于 2025-3-27 21:40:57 | 只看該作者
37#
發(fā)表于 2025-3-27 23:48:09 | 只看該作者
A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a rdiness penalties. This chapter introduces a Dynamical Ant Colony Optimization (DACO) with heuristics for scheduling jobs on a single machine with a common due date. In the proposed algorithm, the parameter of heuristic information is dynamically adjusted. Furthermore, additional heuristics are embe
38#
發(fā)表于 2025-3-28 04:17:31 | 只看該作者
Deterministic Search Algorithm for Sequencing and Scheduling,of near-optimal solution techniques including heuristics and meta-heuristics. The recently developed H-K general purpose heuristic has been successfully demonstrated on members of this class. This chapter proposes the use of this deterministic heuristic for use on complex scheduling problems. Specif
39#
發(fā)表于 2025-3-28 07:07:34 | 只看該作者
40#
發(fā)表于 2025-3-28 13:06:56 | 只看該作者
Solving Scheduling Problems by Evolutionary Algorithms for Graph Coloring Problem,heduling, multiprocessor scheduling task and other assignment problems. The proposed evolutionary approach to the Graph Coloring Problem utilizes information about the conflict localization in a given coloring. In this context a partial fitness function (.) and its usage to specialize genetic operat
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