Search Results - (( java implication based algorithm ) OR ( road construction based algorithm ))
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A multi-depot dynamic vehicle routing problem with stochastic road capacity: an MDP model and dynamic policy for post-decision state rollout algorithm in reinforcement learning
Published 2022“…Then, at the end, a decision is made by the agent. Five types of constructive base heuristics are proposed for the PDS-RA. …”
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A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm
Published 2021“…The proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. …”
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Automatic Road Network Recognition and Extraction for Urban Planning
Published 2009“…The uses of road map in daily activities are numerous but it is a hassle to construct and update a road map whenever there are changes. …”
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Approach for detecting lane line boundaries / Mamadou Baldeh
Published 2020“…Road markings embody the rules of the road whilst capturing the upcoming road layout. …”
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A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…Moreover, the proposed algorithm result are compared to some common algorithms such as the A* algorithm, Probabilistic Road Map, RRT, Bi-directional RRT, and Laser Simulator algorithm to demonstrate its effectiveness. …”
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Multi depot dynamic vehicle routing problem with stochastic road capacity for emergency medical supply delivery in humanitarian logistics
Published 2022“…Specifically a PDS - Rollout Algorithm (PDS-RA) is adopted. Five variants of constructive base heuristics, Teach Based Insertion Heuristic (TBIH-1 - TBIH-5) are proposed complementing the PDSRA when dealing with the lookahead rollout involving stochastic road capacity. …”
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Shortest path from Bandar Tun Razak to Berjaya Times Square using Dijkstra Algorithm / Nur Syuhada Muhammat Pazil ... [et al.]
Published 2020“…The time wasted on the road causes a lot of problems to the users. Furthermore, the costs between two destinations are rather expensive. …”
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Hybrid differential evolution-particle swarm optimization algorithm for multi objective urban transit network design problem with homogeneous buses
Published 2019“…This paper considers an urban transit network design problem (UTNDP) that deals with construction of an efficient set of transit routes and associated service frequencies on an existing road network. …”
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Fuzzy-pid controller design for brake-by-wire system of electrical vehicle
Published 2014“…In view of that, the mechanism behavior and operating process of both brake systems are dominated by implementing distinct control algorithms based on PID and Fuzzy-PID controllers. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat
Published 2024“…In response to worsening urban traffic congestion, metro tunnels have emerged as a solution to ease pressure on road networks. Shield machines, like earth pressure balance and slurry machines, are pivotal in modern tunnel construction. …”
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Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms
Published 2024“…., average production of 2 billion tons per year) for the construction of buildings, bridges, roads, dams, and several other important infrastructures. …”
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Evacuation routing optimizer (EROP) / Azlinah Mohamed … [et al.]
Published 2011“…Overall, myDPSOVAP-A outperformed both a genetic algorithm with random vehicle capacity and a genetic algorithm with sort ascending order of vehicle capacity in solving the EVAP. …”
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Urban landcover features identification utilizing multiband combinations and multi-level image segmentation for objectbased classification / Nurhanisah Hashim
Published 2018“…The emerging of high spectral resolution image with submeter level of accuracy lead to high potential in order to identify detailed urban landcover features. By adopting object based approached instead of pixel based will avoid the 'salt and pepper' effect that will decrease the accuracy of land-cover classification. …”
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Government policy as a key moderator to contractors’ risk attitudes among Malaysian construction companies
Published 2020“…This study uses the quantitative method to identify the individual factors influencing contractors’ risk attitude and the moderating role of government policy among construction companies in Malaysia. This study also focussed on the G7 contractors operating in the Malaysia construction industry that specializes in building, bridge and road construction projects. …”
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