Search Results - (( solution integrated process algorithm ) OR ( java implication based algorithm ))
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Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training
Published 2020“…In this paper, an improved butterfly optimization algorithm (IBOA) is proposed and subsequently integrated into the training process of the WNNs. …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…VL-WIDE was also integrated with the solution selection model based on the Analytical Hierarchical Process (AHP) that considers decision-maker preference for the optimized objectives. …”
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…Five (5) Alternative Algorithm Design Techniques (AADTs) were developed and investigated for suitability in providing process planning solutions suitable for reconfigurable manufacturing. …”
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Development of an integrated scheduling model for handling equipment in automated port container terminals
Published 2014“…In addition, results proved that the modified meta-heuristic algorithm is able to find near optimal solutions and on average, the solutions found by the GA algorithm are only 0.2% worse than the optimal solutions and in the worst case in the test cases this difference is 2.3% which is acceptable. …”
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Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
Published 2011“…Moreover, the effects of three cooling processes and two sets of control parameters on the best solution of the SA are investigated.…”
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Review of the research landscape of multi-criteria evaluation and bench- marking processes for many-objective optimisation methods: coherent taxonomy, challenges and recommended so...
Published 2020“…Then contentious and challenging issues related to evaluation are highlighted, and the performance of optimization algorithms for MaOO is benchmarked. The methodological aspects of the evaluation and selection of MaOO algorithms are presented as the recommended solution on the basis of four distinct and successive phases. …”
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Automated multi-agent negotiation framework for the construction domain
Published 2023Conference Paper -
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NSGA-III algorithm for optimizing robot collaborative task allocation in the internet of things environment
Published 2024“…The experiment verified that this strategy can approach the optimal solution more closely during the population convergence process, and compared it with traditional Multi TSP algorithms and single function multi-objective Multi TSP algorithms. …”
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A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree
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Proportional-integral control optimization using imperialist competitive algorithm
Published 2012“…ICA is one of the newest computational algorithms that emulate the process of imperialistic competition. …”
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A harmony search algorithm for university course timetabli
Published 2012“…Harmony search algorithm is a new metaheuristic population-based algorithm, mimicking the musical improvisation process where a group of musicians play the pitches of their musical instruments together seeking a pleasing harmony. …”
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A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Black Hole (BH) optimization algorithm has been underlined as a solution for data clustering problems. …”
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Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids
Published 2009“…In addition, the integration of the proposed DLT model with Simulated Annealing (SA) algorithm has been also developed. …”
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AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm
Published 2025“…This study contributes to the cybersecurity domain by offering a scalable, AI-driven solution that integrates traditional penetration testing practices with advanced machine learning techniques. …”
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Multi-objective multi-verse optimiser for integrated two-sided assembly sequence planning and line balancing
Published 2022“…Meanwhile, in comparison with well-established algorithms, MOMVO performed better in convergence and solution distribution. …”
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