يعرض 1 - 20 نتائج من 349 نتيجة بحث عن '(( ((algorithm cost) OR (algorithm a)) function ) OR ( algorithm goa function ))*', وقت الاستعلام: 0.14s تنقيح النتائج
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    Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

    منشور في 2022
    "…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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    Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

    منشور في 2023
    "…The optimization is applied to a formulated cost function that considers uncertainty, false alarms, and existing clutters. …"
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    A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

    منشور في 2021
    "…The role of the proposed quasi oppositional based SMPID controller is to modify the tracking strategy on AC/HVDC interconnected systems while reducing the related cost function. The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …"
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    Stochastic evolution algorithm for technology mapping حسب Al-Mulhem, A.S.

    منشور في 1998
    "…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …"
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    article
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    A new multimodulus blind equalization algorithm حسب Abrar, Shafayat

    منشور في 2004
    "…The proposed algorithm is obtained by removing the discontinuity found in the RCA cost function. …"
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    article
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    A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities حسب Mahdi Mokhtarzadeh (11593310)

    منشور في 2021
    "…Three objective functions are considered to minimize costs, noise pollutions, and the harassment caused by the establishment of a hub for people, a new objective that locates hubs in less populated areas. …"
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    A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

    منشور في 1997
    "…A fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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    article
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    A New Penalty Function Algorithm For Convex Quadratic Programming حسب Bendaya, M.

    منشور في 2020
    "…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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    Application of Red Deer Algorithm in Optimizing Complex functions حسب Zitar, Raed

    منشور في 2021
    "…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …"
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    A genetic-based algorithm for fuzzy unit commitment model حسب Mantawy, A.H.

    منشور في 2000
    "…In the implementation for the GA, coding of the UCP solutions is based on mixing binary and decimal representations. A fitness function is constructed from the total operating cost of the generating units plus a penalty term determined due to the fuzzy load and spinning reserve membership functions. …"
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    article
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    Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning حسب Sait, Sadiq M.

    منشور في 2006
    "…A series of experiments are performed to evaluate the efficiency of the algorithms. …"
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    Evolutionary algorithms, simulated annealing and tabu search: a comparative study حسب Youssef, H.

    منشور في 2020
    "…The three heuristics are applied on the same optimization problem and compared with respect to (1) quality of the best solution identified by each heuristic, (2) progress of the search frominitial solution(s) until stopping criteria are met, (3) the progress of the cost of the best solution as a function of time (iteration count), and (4) the number of solutions found at successive intervals of the cost function. …"
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    article