Výsledky vyhledávání - Artificial intelligence Evolutionary algorithms Non-linear programming Optimization*

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

“…Over the past three decades Evolutionary Algorithms have emerged as a powerful mechanism for finding solutions to large and complex problems…”
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An efficient modified differential evolution algorithm for solving constrained non-linear integer and mixed-integer global optimization problems Autor Mohamed, Ali Wagdy

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

“…: in particular by evolutionary algorithms. We investigate in this article the employment of Genetic Programming (GP…”
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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

“…‐Linear Programming problem. Then, an alternating optimization‐based algorithm is put forward to derive a sub…”
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Modelling and optimization of mixed-parallel straight and two-sided disassembly line balancing problem Autor Liang, Wei, Zhang, Zeqiang, Zeng, Yanqing, Ji, Dan, Zhang, Yu, Chen, Haiye, Li, Yan, Zhu, Lixia

“…•This study constructed a mixed-integer non-linear programming model for the proposed problem and validated the designed method…”
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Utilizing dependence among variables in evolutionary algorithms for mixed-integer programming: A case study on multi-objective constrained portfolio optimization Autor Chen, Yi, Zhou, Aimin, Das, Swagatam

“… Mixed-Integer Non-Linear Programming (MINLP) is not rare in real-world applications such as portfolio investment…”
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Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms Autor Saxena, D. K., Duro, J. A., Tiwari, A., Deb, K., Qingfu Zhang

“…The difficulties faced by existing multiobjective evolutionary algorithms (MOEAs) in handling many-objective problems relate to the inefficiency of selection…”
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Forest Optimization Algorithm Autor Ghaemi, Manizheh, Feizi-Derakhshi, Mohammad-Reza

“…•We proposed Forest Optimization Algorithm (FOA) as a new evolutionary algorithm…”
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Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems Autor Sinha, Ankur, Soun, Tharo, Deb, Kalyanmoy

“… Such a reduction strategy has been widely used in the classical optimization as well as the evolutionary computation literature…”
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A hybrid Mountain Gazelle particle swarm-based algorithm for constrained optimization problems Autor Rani, Rekha, Garg, Vanita, Jain, Sarika, Garg, Harish

“…Nature inspired techniques have been essential in addressing complex, non-linear and non-convex optimization problems…”
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Multiobjective Production Planning Optimization Using Hybrid Evolutionary Algorithms for Mineral Processing Autor Yu, Gang, Chai, Tianyou, Luo, Xiaochuan

“… A gradient-based hybrid operator is proposed in two evolutionary algorithms named the gradient-based NSGA-II (G-NSGA-II…”
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Bacterial-inspired algorithms for solving constrained optimization problems Autor Niu, Ben, Wang, Jingwen, Wang, Hong

“… BFO with linear decreasing chemotaxis step (BFO-LDC) and BFO with non-linear decreasing chemotaxis step (BFO-NDC…”
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Evolution of efficient real-time non-linear image filters for FPGAs Autor Vasicek, Zdenek, Bidlo, Michal, Sekanina, Lukas

“… Evolutionary algorithms constitute a class of stochastic search methods that are applicable in both optimization and design tasks…”
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Novel Hybrid Intelligence Techniques in Engineering

“… Such techniques utilise algorithms/approaches such as artificial neural networks, fuzzy logic, evolutionary theory, learning theory, and probabilistic theory, making them a suitable and useful fit…”
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A metaheuristic approach for optical network optimization problems Autor Bhanja, Urmila, Mahapatra, Sudipta

“… Comparison of fitness deviation of evolutionary programming algorithm, genetic algorithm, and simulated annealing for a 14 node network. [Display omitted…”
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Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling Autor Zhang, Wanting, Du, Wei, Yu, Guo, He, Renchu, Du, Wenli, Jin, Yaochu

“…) emerge with thousands of binary variables and non-linear constraints, which are challenging to be optimized by traditional optimization methods…”
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Optimization of process synthesis and design problems: A modified differential evolution approach Autor Angira, Rakesh, Babu, B.V.

“… Due to their combinatorial nature, these problems are considered to be difficult. In recent years, evolutionary algorithms (EAs…”
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Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function Autor Vasant, Pandian, Barsoum, Nader

“…Many engineering, science, information technology and management optimization problems can be considered as non-linear programming real-world problems where all or some of the parameters and variables…”
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Edge Deployable Distributed Evolutionary Optimization based Calibration method for Neural Quantization Autor Tiwari, Utsav, Miriyala, Srinivas S, Rajendiran, Vikram N

“… We solve this issue by translating PTQ as a non-linear programming problem, which is then efficiently solved block-wise in distributed manner using an evolutionary algorithm…”
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A simple multimembered evolution strategy to solve constrained optimization problems Autor Mezura-Montes, E., Coello, C.A.C.

“…This work presents a simple multimembered evolution strategy to solve global nonlinear optimization problems…”
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