Search Results - adaptive _ (difference OR different) ((optimization algorithms) OR (optimization algorithm))

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  1. 1

    Adaptive sine-cosine algorithms for global optimization by Mohd Falfazli, Mat Jusof, Ahmad Nor Kasruddin, Nasir, Shuhairie, Mohammad, Ahmad Azwan, Abdul Razak, Haszuraidah, Ishak

    Published 2018
    “…This paper introduces improved versions of a Sine-Cosine algorithm called Adaptive Sine-Cosine algorithms. It is made adaptive through incorporation of a linear and an exponential term with respect to an individual agent’s fitness. …”
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  2. 2

    Heterogenous adaptive ant colony optimization with 3-opt local search for the travelling salesman problem by Tuani Ibrahim, Ahamed Fayeez, Keedwell, Edward, Collett, Matthew

    Published 2020
    “…However, it is well-known that parameters are problem-dependent as different problems or even different instances have different optimal parameter settings. …”
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    Article
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    Adaptable algorithms for performance optimization of dynamic batch manufacturing processes by Teo, Kenneth Tze Kin

    Published 2018
    “…This thesis investigates different approaches of integrating hybrid adaptable intelligent algorithms to accommodate the concept of precision optimization via simulated models of industry-scale and pilot-scale. …”
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    Thesis
  5. 5

    Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem by Anniza, Hamdan, San Nah, Sze, Say Leng, Goh, Kang Leng, Chiew, Wei King, Tiong

    Published 2023
    “…The adaptability of evolutionary algorithm mechanisms provides diverse approaches to handle combinatorial optimization challenges. …”
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    Article
  6. 6

    An Optimal Design of Moving Objects Tracking Algorithm on FPGA by Elkhatib, Lina, Hussin, Fawnizu Azmadi, Xia, Likun, Sebastian , Patrick

    Published 2012
    “…The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. …”
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  7. 7

    An optimal design of moving objects tracking algorithm on FPGA by Elkhatib, Lina Noaman, Hussin, Fawnizu Azmadi, Xia, Likun, Sebastian , Patrick

    Published 2010
    “…The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. …”
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  8. 8

    Adaptive route optimization for mobile robot navigation using evolutionary algorithm by Kit Guan Lim, Guan Lim, Yoong Hean Lee, Hean Lee, Min Keng Tan, Keng Tan, Hou, Pin Yoong, Tienlei, Wang, Tze, Kenneth Kin Teo

    Published 2021
    “…For example, Ant Colony Optimization (ACO) is an optimization algorithm based on swarm intelligence which is widely used to solve path planning problem. …”
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    Proceedings
  9. 9

    Integrated optimal control and parameter estimation algorithms for discrete-time nonlinear stochastic dynamical systems by Kek, Sie Long

    Published 2011
    “…This thesis describes the development of an efficient algorithm for solving nonlinear stochastic optimal control problems in discrete-time based on the principle of model-reality differences. …”
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    Thesis
  10. 10

    Modified ACS centroid memory for data clustering by Jabbar, Ayad Mohammed, Ku-Mahamud, Ku Ruhana, Sagban, Rafid

    Published 2019
    “…Ant Colony Optimization (ACO) is a generic algorithm, which has been widely used in different application domains due to its simplicity and adaptiveness to different optimization problems. …”
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    Article
  11. 11

    An optimal design of moving objects tracking algorithm on FPGA by Elkhatib, Lina, Hussin, Fawnizu Azmadi, Xia, Likun, Sebastian , Patrick

    Published 2012
    “…The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. …”
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    Conference or Workshop Item
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    Novel parameter extraction for single, double, and three diodes photovoltaic models based on robust adaptive arithmetic optimization algorithm and adaptive damping method of Berndt... by Mohammed Ridha, Hussein, Hizam, Hashim, Mirjalili, Seyedali, Othman, Mohammad Lutfi, Ya'acob, Mohammad Effendy, Ahmadipour, Masoud

    Published 2022
    “…In this work, we present a robust adaptive Arithmetic Optimization Algorithm based on the adaptive damping Berndt-hall-hall-Hausman (RaAOAAdBHHH) approach to efficacity determine the parameters of the single, double, and three diode PV model. …”
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    Article
  15. 15

    Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review by Omar, M.B., Bingi, K., Rajanarayan Prusty, B., Ibrahim, R.

    Published 2022
    “…SDO algorithm is one of the most straightforward physics-based optimization algorithms and is successfully applied in various broad fields. …”
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    Article
  16. 16

    Recent Advances and Applications of Spiral Dynamics Optimization Algorithm: A Review by Omar, M.B., Bingi, K., Rajanarayan Prusty, B., Ibrahim, R.

    Published 2022
    “…SDO algorithm is one of the most straightforward physics-based optimization algorithms and is successfully applied in various broad fields. …”
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    Article
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    Adaptive Network Fuzzy Inference System (ANFIS) Handoff Algorithm by Kwong, Chiew Foong, Chuah, Teong Chee, Lee, Sze Wei

    Published 2009
    “…The fuzzy handoff algorithm proposed by earlier work is not optimized and required constant attention from the human experts. …”
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    Book Section
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    Dynamic parameterizations of particle swarm optimization and genetic algorithm for facility layout problem by Masrom, S., Abidin, S.Z.Z., Omar, N., Rahman, A.S.A., Rizman, Z.I.

    Published 2017
    “…Surrounded by an assortment of intelligent and efficient search entities, the hybridization of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are proven to be a comprehensive tool for solving different kinds of optimization problems due to their contradictive working approaches. …”
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    Article
  20. 20

    A combinatorial optimization technique using genetic algorithm :a case study in machine layout problem by Lau, Yung Siew.

    Published 2007
    “…Genetic Algorithms (GAs) are a powerful stochastic search in solving optimization problems. …”
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    Final Year Project Report / IMRAD