Titlebook: Evolutionary Computation in Combinatorial Optimization; 23rd European Confer Leslie Pérez Cáceres,Thomas Stützle Conference proceedings 202

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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

INERT

,Application of Adapt-CMSA to the Two-Echelon Electric Vehicle Routing Problem with Simultaneous Piclarge vehicles transport goods from central warehouses to satellites, while smaller and environmentally friendly vehicles distribute goods from these satellites to final customers. The considered problem also includes simultaneous pickup and delivery constraints that usually arise as a reverse logis

Brain-Imaging

Clumsy

殖民地

鬼魂

鬼魂

,Monte Carlo Tree Search with Adaptive Simulation: A Case Study on Weighted Vertex Coloring, on the fly during the search. The impacts of different operator policies, including proportional bias, one-armed bandit, and neural network, are investigated. Experiments on well-known benchmarks of the Weighted Vertex Coloring Problem are conducted to highlight the advantages and limitations of ea

脱落

,Evolutionary Strategies for the Design of Binary Linear Codes,as been addressed with metaheuristic techniques such as evolutionary algorithms. Still, all these efforts are focused on optimizing the minimum distance of unrestricted binary codes, i.e., with no constraints on their linearity, which is a desirable property for efficient implementations. In this pa

NATTY

synovitis

,Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi problem by scheduling multiple workflows submitted at different times and meet user-defined quality of service objectives. Scheduling with user-defined budget constraints is becoming increasingly important due to cloud dynamics associated with on-demand provisioning, instance types, and pricing. To