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View all- Bauschert TReddy V(2020)A Fast, Scalable Meta-Heuristic for Network Slicing Under Traffic UncertaintyApplications of Evolutionary Computation10.1007/978-3-030-43722-0_16(244-259)Online publication date: 9-Apr-2020
The paper presents a study on the application of messy genetic algorithms for the winner determination problem in the combinatorial auction realm. Messy genetic algorithms operate explicitly on building blocks in order to obtain good solutions. Since ...
The use of genetic algorithms (GAs) to evolve neural network (NN) weights has risen in popularity in recent years, particularly when used together with gradient descent as a mutation operator. However, crossover operators are often omitted from ...
In this paper we present a genetic algorithm-based heuristic for solving the set partitioning problem (SPP). The SPP is an important combinatorial optimisation problem used by many airlines as a mathematical model for flight crew scheduling.
A key feature ...
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