Výsledky vyhľadávania - artificial intelligence evolution algorithms non-linear programming optimization

  1. 1

    An efficient modified differential evolution algorithm for solving constrained non-linear integer and mixed-integer global optimization problems Autor Mohamed, Ali Wagdy

    ISSN: 1868-8071, 1868-808X
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2017
    “…In this paper, an efficient modified Differential Evolution algorithm, named EMDE, is proposed for solving constrained non-linear integer and mixed-integer global optimization problems…”
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  2. 2

    Discovering Non-Linear Boolean Functions by Evolving Walsh Transforms with Genetic Programming Autor Rovito, Luigi, De Lorenzo, Andrea, Manzoni, Luca

    ISSN: 1999-4893, 1999-4893
    Vydavateľské údaje: Basel MDPI AG 01.11.2023
    Vydané v Algorithms (01.11.2023)
    “…: in particular by evolutionary algorithms. We investigate in this article the employment of Genetic Programming (GP…”
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  3. 3

    Enhanced honey badger algorithm based on nonlinear adaptive weight and golden sine operator Autor Majumdar, Parijata, Mitra, Sanjoy

    ISSN: 0941-0643, 1433-3058
    Vydavateľské údaje: London Springer London 01.01.2025
    Vydané v Neural computing & applications (01.01.2025)
    “…The honey badger algorithm (HBA) is a swarm intelligence algorithm that imitates honey badgers…”
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  4. 4

    Joint UAV deployment, SF placement, and collaborative task scheduling in heterogeneous multi‐UAV‐empowered edge intelligence Autor Wang, Yangang, Wei, Xianglin, Wang, Hai, Fan, Jianhua, Chen, Juan, Zhao, Kuang, Hu, Yongyang

    ISSN: 1751-8628, 1751-8636
    Vydavateľské údaje: Stevenage John Wiley & Sons, Inc 01.03.2023
    Vydané v IET communications (01.03.2023)
    “…‐Linear Programming problem. Then, an alternating optimization‐based algorithm is put forward to derive a sub…”
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  5. 5

    Evolution of efficient real-time non-linear image filters for FPGAs Autor Vasicek, Zdenek, Bidlo, Michal, Sekanina, Lukas

    ISSN: 1432-7643, 1433-7479
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2013
    Vydané v Soft computing (Berlin, Germany) (01.11.2013)
    “… Evolutionary algorithms constitute a class of stochastic search methods that are applicable in both optimization and design tasks…”
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  6. 6

    Modified differential evolution: a greedy random strategy for genetic recombination Autor Bergey, Paul K., Ragsdale, Cliff

    ISSN: 0305-0483, 1873-5274
    Vydavateľské údaje: Exeter Elsevier Ltd 01.06.2005
    Vydané v Omega (Oxford) (01.06.2005)
    “… A promising new evolutionary algorithm known as Differential Evolution (DE) was recently introduced and has garnered significant attention in the research literature…”
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  7. 7

    Optimization of process synthesis and design problems: A modified differential evolution approach Autor Angira, Rakesh, Babu, B.V.

    ISSN: 0009-2509, 1873-4405
    Vydavateľské údaje: Oxford Elsevier Ltd 01.07.2006
    Vydané v Chemical engineering science (01.07.2006)
    “… In the present study, a novel modified differential evolution [Angira, R., Babu, B.V., 2005a. Optimization…”
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  8. 8

    Sustainable maritime inventory routing problem with time window constraints Autor De, Arijit, Kumar, Sri Krishna, Gunasekaran, Angappa, Tiwari, Manoj Kumar

    ISSN: 0952-1976, 1873-6769
    Vydavateľské údaje: Elsevier Ltd 01.05.2017
    “…) within ship routing. A mixed integer non-linear programming model is presented considering various scheduling and routing constraints, loading/unloading constraints and vessel capacity constraints…”
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  9. 9

    Self-adaptive differential evolution algorithm with discrete mutation control parameters Autor Fan, Qinqin, Yan, Xuefeng

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: Amsterdam Elsevier Ltd 15.02.2015
    Vydané v Expert systems with applications (15.02.2015)
    “… Generally, the optimization problem has different relationships (i.e., linear, approximately linear, non-linear, or highly non-linear…”
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    A simple multimembered evolution strategy to solve constrained optimization problems Autor Mezura-Montes, E., Coello, C.A.C.

    ISSN: 1089-778X, 1941-0026
    Vydavateľské údaje: New York, NY IEEE 01.02.2005
    “…This work presents a simple multimembered evolution strategy to solve global nonlinear optimization problems…”
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    Forest Optimization Algorithm Autor Ghaemi, Manizheh, Feizi-Derakhshi, Mohammad-Reza

    ISSN: 0957-4174, 1873-6793
    Vydavateľské údaje: Amsterdam Elsevier Ltd 01.11.2014
    Vydané v Expert systems with applications (01.11.2014)
    “…•We proposed Forest Optimization Algorithm (FOA) as a new evolutionary algorithm…”
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  12. 12

    Performance of modified differential evolution for optimal design of complex and non-linear chemical processes Autor Angira, Rakesh, Babu, B. V.

    ISSN: 0952-813X, 1362-3079
    Vydavateľské údaje: Taylor & Francis Group 01.12.2006
    “…Differential evolution (DE) is an evolutionary optimization technique that is exceptionally simple, fast, and robust at numerical optimization…”
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    An improved differential evolution algorithm for optimization including linear equality constraints Autor Barbosa, Helio J. C., Bernardino, Heder S., Angelo, Jaqueline S.

    ISSN: 1865-9284, 1865-9292
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2019
    Vydané v Memetic computing (01.09.2019)
    “…A differential evolution algorithm (DE) is proposed to exactly satisfy the linear equality constraints present in a continuous optimization problem that may also include additional non-linear equality and inequality constraints…”
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  14. 14

    A hybrid Mountain Gazelle particle swarm-based algorithm for constrained optimization problems Autor Rani, Rekha, Garg, Vanita, Jain, Sarika, Garg, Harish

    ISSN: 1868-6478, 1868-6486
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2025
    Vydané v Evolving systems (01.02.2025)
    “…Nature inspired techniques have been essential in addressing complex, non-linear and non-convex optimization problems…”
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    TRANSFORM-ANN for online optimization of complex industrial processes: Casting process as case study Autor Miriyala, Srinivas Soumitri, Subramanian, Venkat R., Mitra, Kishalay

    ISSN: 0377-2217, 1872-6860
    Vydavateľské údaje: Elsevier B.V 01.01.2018
    “… Artificial Neural Networks (ANNs) are well known for their credible ability to capture non-linear trends in scientific data…”
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    A New Framework for Stereo Sensor Pose Through Road Segmentation and Registration Autor Dornaika, F., Alvarez, J. M., Sappa, A. D., Lopez, A. M.

    ISSN: 1524-9050, 1558-0016
    Vydavateľské údaje: Piscataway, NJ IEEE 01.12.2011
    “…This paper proposes a new framework for real-time estimation of the onboard stereo head's position and orientation relative to the road surface, which is…”
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    Deep Reinforcement Learning-based Online Resource Management for UAV-Assisted Edge Computing with Dual Connectivity Autor Linh Cao Hoang, Chuyen T. Nguyen, Anh T. Pham

    ISSN: 1063-6692, 1558-2566
    Vydavateľské údaje: Institute of Electrical and Electronics Engineers (IEEE) 01.12.2023
    Vydané v IEEE/ACM Transactions on Networking (01.12.2023)
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    Evolutionary Optimization of Constrained k-Means Clustered Assets for Diversification in Small Portfolios Autor Vijayalakshmi Pai, G.A., Michel, T.

    ISSN: 1089-778X, 1941-0026
    Vydavateľské údaje: New York, NY IEEE 01.10.2009
    “…The problem of portfolio optimization has been rendered complex for direct solving by traditional and numerical approaches when constraints that model investor preferences and/or market friction…”
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    Multi-period mean–variance portfolio selection with real constraints based on machine learning Autor Cui, Shulin, Zhang, Peng

    ISSN: 1868-8071, 1868-808X
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2025
    “…Machine learning has been widely applied to predict asset returns and can improve static portfolio selection model performance by handling complex financial…”
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    An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization Autor García-Pedrajas, Nicolás, Ortiz-Boyer, Domingo, Hervás-Martínez, César

    ISSN: 0893-6080, 1879-2782
    Vydavateľské údaje: Oxford Elsevier Ltd 01.05.2006
    Vydané v Neural networks (01.05.2006)
    “… The most widely used evolutionary computation paradigm for neural network evolution is evolutionary programming…”
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