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Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework.

, , , and . Genet. Program. Evolvable Mach., 10 (4): 391-415 (2009)

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A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment., , , and . PDPTA, page 658-664. CSREA Press, (2010)Learning Multiple Sound Source 2D Localization., , , , , , and . MMSP, page 1-6. IEEE, (2019)A Framework of GRID Problem-Solving Environment Employing Robust Evolutionary Search., , and . EUROCAST, volume 4739 of Lecture Notes in Computer Science, page 473-480. Springer, (2007)Optimization of parallel Genetic Algorithms for nVidia GPUs., , , and . IEEE Congress on Evolutionary Computation, page 803-811. IEEE, (2011)Learning Multiple Sound Source 2D Localization., , , , , , and . CoRR, (2020)Self-Refinement of Language Models from External Proxy Metrics Feedback., , , , , , , and . CoRR, (2024)Neuro-Symbolic Approaches for Text-Based Policy Learning., , , , , and . EMNLP (1), page 3073-3078. Association for Computational Linguistics, (2021)A Survey: Genetic Algorithms and the Fast Evolving World of Parallel Computing., , , and . HPCC, page 897-902. IEEE Computer Society, (2008)A General Service-Oriented Grid Computing Framework for Global Optimization Problem Solving., , , and . IEEE SCC (2), page 563-566. IEEE Computer Society, (2008)Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks., , , , , , , , , and 16 other author(s). CoRR, (2024)