Titlebook: Evolutionary Computation in Combinatorial Optimization; 19th European Confer Arnaud Liefooghe,Luís Paquete Conference proceedings 2019 Spri

decoction

書目名稱Evolutionary Computation in Combinatorial Optimization影響因子(影響力)




書目名稱Evolutionary Computation in Combinatorial Optimization影響因子(影響力)學(xué)科排名




書目名稱Evolutionary Computation in Combinatorial Optimization網(wǎng)絡(luò)公開度




書目名稱Evolutionary Computation in Combinatorial Optimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evolutionary Computation in Combinatorial Optimization被引頻次




書目名稱Evolutionary Computation in Combinatorial Optimization被引頻次學(xué)科排名




書目名稱Evolutionary Computation in Combinatorial Optimization年度引用




書目名稱Evolutionary Computation in Combinatorial Optimization年度引用學(xué)科排名




書目名稱Evolutionary Computation in Combinatorial Optimization讀者反饋




書目名稱Evolutionary Computation in Combinatorial Optimization讀者反饋學(xué)科排名

FEMUR

A Binary Algebraic Differential Evolution for the MultiDimensional Two-Way Number Partitioning Probnsional Two-Way Number Partitioning Problem (MDTWNPP) and its main components are the binary differential mutation operator and a variable neighborhood descent procedure. The binary differential mutation is a concrete application of the abstract algebraic framework for the binary search space. The v

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collagenase

An Iterated Local Search Algorithm for the Two-Machine Flow Shop Problem with Buffers and Constant he two machines are equal. This case is interesting because it occurs in various applications, e.g., when one machine is a packing machine. For the buffers we consider two types of buffers that have been studied in the literature for flow shops. It is shown that all considered buffered flow shop pro

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使人煩燥

Multiple Periods Vehicle Routing Problems: A Case Study,over a 3-month horizon period where multiple frequencies of visits can be required simultaneously by each single customer. The objective is then threefold: (1) balancing workload between vehicles (agents) (2) minimizing number of visits to the same customer (3) minimizing total routing costs. In thi

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Ganglion-Cyst

Runtime Analysis of Discrete Particle Swarm Optimization Applied to Shortest Paths Computation,are an improved and extended study on Markov chains expanding the adaptability of this technique and its application on the well-known SSSP problem. The results are upper and lower bounds on the expected optimization time. For upper bounds, we combine return times within a Markov model with the well

吹牛需要藝術(shù)

Quasi-Optimal Recombination Operator,ll the solutions fulfilling the gene transmission property: the value of any variable in the offspring must be inherited from one of the parents. This set of solutions coincides with the largest dynastic potential for the two parent solutions of any recombination operator with the gene transmission

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