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rd algorithm » _ algorithms (توسيع البحث)
element » elements (توسيع البحث)
levels » level (توسيع البحث)
search » research (توسيع البحث)
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Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
منشور في 2011احصل على النص الكامل
doctoralThesis -
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Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem
منشور في 2024"…We present the effectiveness of the developed integrated approaches, Sampling Based Progressive Hedging Algorithm (SBPHA) and Discarding SBPHA (d-SBPHA), over the pure strategies (i.e. …"
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Scheduling and allocation in high-level synthesis using stochastic techniques
منشور في 2020"…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. …"
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article -
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Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
منشور في 2006"…The search space is too large to be explored by deterministic algorithms. …"
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احصل على النص الكامل
article -
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A Framework for Predictive Modeling in Sustainable Projects
منشور في 2012احصل على النص الكامل
doctoralThesis -
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A Parallel Genetic Algorithm for the Geometrically Constrained Site Layout Problem with Unequal-Size Facilities
منشور في 2010"…The problem is characterised by affinity weights used to model transportation costs between facilities, and by geometric constraints between relative positions of facilities on site. The algorithm is parallelised based on a message passing SPMD architecture using parallel search and chromosomes migration. …"
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احصل على النص الكامل
article -
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A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
منشور في 2016"…Then, it searches for population discriminative motifs or differentiable sequence of SNPs, by implementing Probabilistic Suffix Trees data structures. …"
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احصل على النص الكامل
masterThesis -
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Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms
منشور في 2022"…This was displayed the return of the portfolio produced using the DEA-Mean-CVaR model increased because the investment proposal was basedon the stock with the highest expected return and was effective at three risk levels. It was found that when solving the Mean-CVaR model with evolutionary algorithms, the risk decreased. …"
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Autonomous Demand-Side Management in the Future Smart Grid
منشور في 2016احصل على النص الكامل
doctoralThesis -
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Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids
منشور في 2025احصل على النص الكامل
doctoralThesis -
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Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
منشور في 2018احصل على النص الكامل
doctoralThesis -
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On-site workshop investment problem: A novel mathematical approach and solution procedure
منشور في 2023"…Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …"
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UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
منشور في 2018"…Moreover, we propose a set of effective algorithms to generate solutions for relatively large-scale network scenarios. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
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Boosting the visibility of services in microservice architecture
منشور في 2023"…Experimental results demonstrated that the CatBoost algorithm achieved the highest level of accuracy (90.42%) in predicting microservice quality.…"
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The bus sightseeing problem
منشور في 2023"…A mixed-integer programming formulation for the BSP is provided and solved by a Benders decomposition algorithm. For large-scale instances, an iterated local search based metaheuristic algorithm is developed with some tailored neighborhood operators. …"
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Reinforcement Learning-Based School Energy Management System
منشور في 2020"…In this work, a Deep Reinforcement Learning agent is proposed for controlling and optimizing a school building’s energy consumption. It is designed to search for optimal policies to minimize energy consumption, maintain thermal comfort, and reduce indoor contaminant levels in a challenging 21-zone environment. …"