Search Results - (( solution location based algorithm ) OR ( parallel optimization path algorithm ))
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Tool path generation of contour parallel based on ant colony optimisation
Published 2016“…An Ant Colony Optimisation (ACO) method is used to optimize the tool path length because of its capability to find the shortest tool path length. …”
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Minimizing machining airtime motion with an ant colony algorithm
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Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
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Enhanced cell-based algorithm with dynamic radius in solving capacitated multi-source weber problem
Published 2021“…Random selection of facility location in a Cell-based approach may cause infeasible or worse solutions. …”
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Harmony search algorithm for curriculum-based course timetabling problem
Published 2013“…With proper modification in terms of the approach in this algorithm would make the algorithm perform better on curriculum-based course timetabling.…”
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Harmony search algorithm for curriculum-based course timetabling problem
Published 2013“…However, the algorithm produced results that were not comparatively better than those previously known as best solution.With proper modification in terms of the approach in this algorithm would make the algorithm perform better on curriculum-based course timetabling.…”
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Mobile user location prediction: genetic algorithm-based approach
Published 2010“…This paper presents a prediction of user location using genetic algorithm and based location history in finding a number of solutions of possible location when applied to recorded context histories, framework is presented and the result are discussed. …”
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Proceeding Paper -
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A New Hybrid Approach Based On Discrete Differential Evolution Algorithm To Enhancement Solutions Of Quadratic Assignment Problem
Published 2020“…The primary aim of this study is to propose a hybrid approach which combines Discrete Differential Evolution (DDE) algorithm and Tabu Search (TS) algorithm to enhance solutions of QAP model, to reduce the distances between the locations by finding the best distribution of N facilities to N locations, and to implement hybrid approach based on discrete differential evolution (HDDETS) on many instances of QAP from the benchmark. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Design/methodology/approach – Prediction approach to location determination based on historical data has attracted a lot of attention in recent studies, the reason being that it offers the convenience of using previously accumulated location data to subsequently determine locations using predictive algorithms. …”
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Context Aware Handover Algorithms For Mobile Positioning Systems
Published 2014“…The proposed solution is implemented in the form of an Android application named Locate@nav6. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Design/methodology/approach – Prediction approach to location determination based on historical data has attracted a lot of attention in recent studies, the reason being that it offers the convenience of using previously accumulated location data to subsequently determine locations using predictive algorithms. …”
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Agreement options for negotiation on material location decision of housing development
Published 2020“…Application of coalition formation for agreement options is used to select the best fit material location. It is based on satisficing game theory rather than optimization. …”
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Solving vehicle routing problem by using improved K-nearest neighbor algorithm for best solution
Published 2017“…Approach: The approach has been presented based on two phases: firstly, the algorithms have been adapted to solve the research problem, where its procedure is different than the common algorithm. …”
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Enhanced privacy protection from location dependent attacks in location based services using spatial cloaking
Published 2020“…This paper presents a solution to protect users from location-dependent attacks by improving the existing clique based cloaking algorithm. …”
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Enhanced Privacy Protection Against Location-Dependent Attacks in Location Based Services Using Spatial Cloaking
Published 2020“…This paper presents a solution to protect users from location-dependent attacks by improving the existing clique based cloaking algorithm. …”
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A novel large-bit-size architecture and microarchitecture for the implementation of Superscalar Pipeline VLIW microprocessors
Published 2008“…Different adder architectures are investigated for suitability on synthesis implementation of large data bus size adder for efficient usage within the ALU. An adder algorithm using repetitive constructs in a parallel algorithm that allows for efficient and optimal synthesis for large data bus size is proposed as a suitable implementation for the adder within the ALU. …”
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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…To evaluate the proposed algorithm, the solutions to the TSP problem obtained from the proposed algorithm and swap sequence based PSO are compared in terms of the best solution, mean solution, and time taken to converge to the optimal solution. …”
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Opposition-based spiral dynamic algorithm with an application to optimize type-2 fuzzy control for an inverted pendulum system
Published 2022“…Spiral Dynamic Algorithm (SDA) is a group-based optimization algorithm formulated based on the concept of a natural spiral phenomenon on earth. …”
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Modelling of optimal placement and sizing of battery energy storage system using hybrid whale optimization algorithm and artificial immune system for total system losses reduct...
Published 2023“…Besides, an optimization algorithm with high efficiency is important to ensure the attainment of optimal solutions, where the optimization algorithms like genetic algorithm and particle swarm optimization are known to have high possibility of being trapped in local optimal points. …”
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