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Scatter search algorithm for the cross-dock door assignment problem
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conferenceObject -
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Improved search-tree algorithms for the cluster edit problem. (c2011)
Published 2011Get full text
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masterThesis -
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A decentralized load balancing strategy for parallel search-three optimization. (c2010)
Published 2010Get full text
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masterThesis -
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A parallel search tree algorithm for vertex cover on graphical processing units. (c2013)
Published 2013Get full text
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masterThesis -
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The buffered work-pool approach for search-tree based optimization algorithms
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conferenceObject -
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A Parallel Tabu Search Algorithm for Optimizing Multiobjective VLSI Placement
Published 2005“…In this paper, we present a parallel tabu search (TS) algorithm for efficient optimization of a constrained multiobjective VLSI standard cell placement problem. …”
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
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masterThesis -
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Fuzzy Logic Adaptive Crow Search Algorithm for MPPT of a Partially Shaded Photovoltaic System
Published 2024“…Furthermore, a higher value of the fl is preferred to guide the optimization process in the direction of global search, whilst a lower fl value directs the algorithm in the direction of local search. …”
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A genetic algorithm for corrective retesting. (c1995)
Published 1995Get full text
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masterThesis -
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A parallel optimization algorithm for the maximum clique problem. (c2008)
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masterThesis -
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Socially Motivated Approach to Simulate Negotiation Process
Published 2014Get full text
doctoralThesis -
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Three-phase approach for curriculum-based course timetabling problem. (c2012)
Published 2012Get full text
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masterThesis -
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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