Search Results - solution ((optimization techniques) OR (computing techniques))
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Power System Controlled Islanding Using Modified Discrete Optimization Techniques
Published 2021“…The results show that the MDEP technique produces the best optimal islanding solution compared to the MDPSO and other previously published techniques.…”
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Power System Controlled Islanding using Modified Discrete Optimization Techniques
Published 2023Article -
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…However, a computational study shows that; in comparison to the simulated annealing technique, significant improvements in optimization control performance and quality of computed solutions can be realized through implementing intelligent techniques. …”
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African Buffalo Optimization: A Swarm-Intelligence Technique
Published 2015“…This paper proposes a new optimization technique called the African Buffalo Optimization. …”
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A comparative performance analysis of computational intelligence techniques to solve the asymmetric travelling salesman problem
Published 2021“…These six algorithms were chosen for their performance comparison because they have posted some of the best results in literature and they employ different search schemes in attempting solutions to the ATSP. The comparative algorithms in this study employ different techniques in their search for solutions to ATSP: the African Buffalo Optimization employs the modified Karp–Steele mechanism, Model-Induced Max-Min Ant Colony Optimization (MIMM-ACO) employs the path construction with patching technique, Cooperative Genetic Ant System uses natural selection and ordering; Randomized Insertion Algorithm uses the random insertion approach, and the Improved Extremal Optimization uses the grid search strategy. …”
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Optimal Unit Commitment for Minimizing Total Operating Cost using Ant Lion Optimizer
Published 2023Conference Paper -
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Successor selection for Ant Colony Optimization technique algorithm / Muhammad Iskandar Isman
Published 2017“…ACO algorithm is the best solution because it included the optimization technique to optimized the result based on the data criteria needs. …”
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Discrete Evolutionary Programming for Network Splitting Strategy: Different Mutation Technique
Published 2018“…The results show that three-level mutation technique produces better optimal splitting solution as compared to single mutation technique.…”
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Particle swarm optimization with partial search for solving traveling salesman problem
Published 2014“…This study outlined an effective technique, called Partial Search (PS), that deals with the optimal implementation of calculated velocity SS owing to achieve better solution, i.e., tour with lower cost. …”
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The Anglerfish algorithm: a derivation of randomized incremental construction technique for solving the traveling salesman problem
Published 2019“…Combinatorial optimization focuses on arriving at a globally optimal solution given constraints, incomplete information and limited computational resources. …”
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A biogeography-based optimization algorithm hybridized with tabu search for the quadratic assignment problem
Published 2016“…The quadratic assignment problem (QAP) is an NP hard combinatorial optimization problem with a wide variety of applications.Biogeography-based optimization (BBO), a relatively new optimization technique based on the biogeography concept, uses the idea of migration strategy of species to derive algorithm for solving optimization problems.It has been shown that BBO provides performance on a par with other optimization methods.A classical BBO algorithm employs the mutation operator as its diversification strategy. …”
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Using the barnacles mating optimizer with effective constraints handling technique for cost minimization of optimal power flow solution
Published 2021“…Optimal Power Flow (OPF) solution is one of the active research topics in power system optimization problems. …”
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Curve fitting technique for optimal pulsewidth modulation (PWM) online control of a voltage source inverter (VSI)
Published 2000“…A curve fitting technique to allow online computation of switching angles based on the optimal PWM switching strategies is presented. …”
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Review of firewall optimization techniques
Published 2018“…Minimizing firewall rules by removing anomalies in the policy proven to be one of the solutions. Firewall performance can also be optimized using data mining technique and optimization based on traffic awareness. …”
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Integrated Grasshopper Algorithm-Evolutionary Programming Technique for Distributed Energy Resources Allocation
Published 2023Conference Paper -
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Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED): article / Haryanti Kamazahruman
Published 2010“…PSO can solve the problems quickly with high quality solutions and stable convergence characteristics, whereas it is easily implemented evolutionary computation techniques. …”
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Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman
Published 2010“…PSO can solve the problems quickly with high quality solutions and stable convergence characteristics, whereas it is easily implemented evolutionary computation techniques. …”
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Enhancing Market-Based Scheduling Algorithm on Globally Distributed Web Servers Using Least Suitable Sealed Bid Technique
Published 2006“…Scheduling of a multiple distributed servers is considered as a complex problem.considered as NP-complete problem,where no single efficient algorithm guaranteed to produce optimal results.This thesis investigates on how to find optimal solution for distribute system,by implementing market based scheduling Algorithm(MBSA).On implementing the MBSA, a new auction technique which is the least suitable sealed bid auction will be introduced.it is found that least suitable sealed bid technique will give the close-to-optimum solution.In the implementation, cooperative agents were used as a middleware between web servers and stand-alone schedulers. …”
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Applied data mining approach in ubiquitous world of air transportation
Published 2011“…We used some coordinates of various flight paths as input for learning purposes of Neural Network, and defined two classes representing the optimal and non-optimal flight paths. The results have shown that this technique is well capable of recognizing the optimal and non-optimal flight paths. …”
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