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

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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

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

脫落

,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