Search Results - (( based using greedy algorithm ) OR ( java implication based algorithm ))
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Adapting the Elitism on the Greedy Algorithm for Variable Strength Combinatorial Test Cases Generation
Published 2018“…This algorithm is invariably called the modified greedy algorithm (MGA). …”
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Greedy-assisted teaching-learning-based optimization algorithm for cost-based hybrid flow shop scheduling
Published 2025“…However, limited attention has been given to CHFS when considering holistic cost models using efficient algorithms. This paper presents a novel Greedy-Assisted Teaching-Learning-Based Optimization (GTLBO) algorithm for CHFS. …”
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Comparison between alpha beta pruning algorithm and greedy algorithm in designing winning strategies in the game of checkers / Christy Jr Tan
Published 2007“…The algorithm is useful in some of the game search available today. …”
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Optimizing the placement of fire department in Kulim using greedy heuristic and simplex method / Muhammad Abu Syah Mohd Suzaly
Published 2023“…The first method is greedy heuristic method. Greedy heuristics is a type of optimization algorithm that makes decisions based on locally optimal solutions. …”
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GSAR: Greedy Stand-Alone Position-Based Routing protocol to avoid hole problem occurance in Mobile Ad Hoc Networks
Published 2014“…Hence, designing a reliable and dynamic routing protocol that satisfies MANET requirements is highly demanded. The Greedy Forwarding Strategy (GFS) has been the most used strategy in position-based routing protocols. …”
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Multi-base number representation in application to scalar multiplication and pairing computation
Published 2011“…In this work, an extension of Greedy algorithm called xGreedy, is proposed. It finds the best approximated powers of each base to be used to convert large integers to new addition chains. …”
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Routing problem in rectangular mesh network using shortest path based Greedy method
Published 2019“…This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra's based greedy method. …”
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Routing problem in rectangular mesh network using Dijkstra’s based Greedy method
Published 2018“…This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra’s based greedy method. …”
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Compiler-based prefetching algorithm for recursive data structure
Published 2007“…This best algorithm consists of greedy prefetching and prefetch array algorithms. …”
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A greedy heuristics multiple criteria model for solving multi-landfill site selection and plant propagation algorithm for improving waste collection vehicle routing solutions
Published 2023“…Moreover, the WCVRP solutions were improved by using PPA. Both models were tested on a WCVRP benchmark problem and a case-based scenario in Kubang Pasu, Kedah. …”
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11
A variable combinatorial test suite strategy based on modified greedy algorithm
Published 2015“…This proposed will suggest a new CIT strategy based on a modified greedy algorithm (MGA) with addressing the supporting of variable strength interaction to generate a satisfactory test suite size.…”
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Routing problem in rectangular mesh network using shortest path based Greedy method
Published 2019“…This paper presents a complete routing algorithm which can further refine the solution by using Dijkstra's based greedy method. …”
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A Grid-Based Reliable Routing (GBRR) protocol for wireless sensor networks
Published 2019“…In this research, collaborated with clustering and grid-based routing features, the proposed protocol uses a combination of clustering protocols and geographical protocols with greedy algorithm to accomplish the scalability and adaptability of the randomly deployed sensor networks in a dense and large-scale network. …”
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Automated bilateral negotiation with incomplete information in the e-marketplace.
Published 2011“…The MGT algorithm is useful to explore the properties of the Pareto-optimal offers. …”
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Information Theoretic-based Feature Selection for Machine Learning
Published 2018“…The second test evaluates IFS in a controlled study using simulated datasets. Moreover, the third test used ten natural domain datasets obtained from UCI Repository, in about fifteen different experiments, using three to four different Machine Learning Algorithms for performance evaluation. …”
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A guided artificial bee colony (GABC) heuristic for permutation flowshop scheduling problem (PFSP)
Published 2021“…The study clusters the Employed Bees (EB) and Onlooker Bees (OB) into several groups: Total Greedy, Semi Greedy and Non-Greedy. Upon completion, the study selected the Total Greedy (3+0+0) because of the leading performance in makespan value (performance indicator), and the author used it for the rest of this study. …”
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Influence maximisation towards target users and minimal diffusion of information based on information needs
Published 2020“…Moreover, the influencer identification based on specific needs was implemented using a General Additive Model on four fundamental centralities. …”
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