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- W144563559 abstract "This paper presents an Improved Memetic Algorithm (IMA) designed to compute near-optimal solutions for the antibandwidth problem. It incorporates two distinguishing features: an efficient heuristic to generate a good quality initial population and a local search operator based on a Stochastic Hill Climbing algorithm. The most suitable combination of parameter values for IMA is determined by employing a tunning methodology based on Combinatorial Interaction Testing. The performance of the fine-tunned IMA algorithm is investigated through extensive experimentation over well known benchmarks and compared with an existing state-of-the-art Memetic Algorithm, showing that IMA consistently improves the previous best-known results." @default.
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- W144563559 date "2012-01-01" @default.
- W144563559 modified "2023-09-23" @default.
- W144563559 title "An Improved Memetic Algorithm for the Antibandwidth Problem" @default.
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- W144563559 doi "https://doi.org/10.1007/978-3-642-35533-2_11" @default.
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