Titlebook: Evolutionary Computation in Combinatorial Optimization; 6th European Confere Jens Gottlieb,Günther R. Raidl Conference proceedings 2006 Spr

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Zum Messen von Wohlbefinden bei Nutztieren,We propose two different genetic algorithms based on different encoding schemes. The first one is a sequence based GA (SGA) that generates random sequences of jobs and applies the batch first fit (BFF) heuristic to group the jobs. The second one is a batch based hybrid GA (BHGA) that generates rando

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Christopher W. Clark,George J. Gagnonons can be represented as relations and formulate some standard mutation and crossover operators for this representation using relation-algebra. Evaluating a population with respect to their constraints seems to be the most costly step in one generation for many important problems. We show that the

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Randall W. Davis,James L. Bodkin-dimensional case. The core for the multidimensional problem is defined in dependence of a chosen efficiency function of the items, since no single obvious efficiency measure is available for MKP. An empirical study on the cores of widely-used benchmark instances is presented, as well as experiments

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https://doi.org/10.1007/978-3-030-90742-6me time on the same machine. The processing time of a batch is given by the identical processing time of the jobs within one incompatible family. We are interested in minimizing total weighted tardiness and makespan at the same time. In order to solve this problem, i.e. generate a Pareto-front, we s

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978-3-540-33178-0Springer-Verlag Berlin Heidelberg 2006

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Evolutionary Computation in Combinatorial Optimization978-3-540-33179-7Series ISSN 0302-9743 Series E-ISSN 1611-3349