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

decoction

书目名称Evolutionary Computation in Combinatorial Optimization影响因子(影响力)




书目名称Evolutionary Computation in Combinatorial Optimization影响因子(影响力)学科排名




书目名称Evolutionary Computation in Combinatorial Optimization网络公开度




书目名称Evolutionary Computation in Combinatorial Optimization网络公开度学科排名




书目名称Evolutionary Computation in Combinatorial Optimization被引频次




书目名称Evolutionary Computation in Combinatorial Optimization被引频次学科排名




书目名称Evolutionary Computation in Combinatorial Optimization年度引用




书目名称Evolutionary Computation in Combinatorial Optimization年度引用学科排名




书目名称Evolutionary Computation in Combinatorial Optimization读者反馈




书目名称Evolutionary Computation in Combinatorial Optimization读者反馈学科排名

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

我不明白

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

体贴

使人烦燥

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

使人烦燥

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

吹牛需要艺术

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

缓和