Suchergebnisse - Artificial intelligence Evolutionary algorithms Non-linear programming Optimization

Modified differential evolution: a greedy random strategy for genetic recombination von 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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Discovering Non-Linear Boolean Functions by Evolving Walsh Transforms with Genetic Programming von 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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An efficient modified differential evolution algorithm for solving constrained non-linear integer and mixed-integer global optimization problems von 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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Joint UAV deployment, SF placement, and collaborative task scheduling in heterogeneous multi‐UAV‐empowered edge intelligence von 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 von 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 von 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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Evolution of efficient real-time non-linear image filters for FPGAs von 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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Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms von 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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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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Forest Optimization Algorithm von Ghaemi, Manizheh, Feizi-Derakhshi, Mohammad-Reza

“… •We proposed Forest Optimization Algorithm (FOA) as a new evolutionary algorithm …”
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A metaheuristic approach for optical network optimization problems von 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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Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function von 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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Bacterial-inspired algorithms for solving constrained optimization problems von 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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Multiobjective Production Planning Optimization Using Hybrid Evolutionary Algorithms for Mineral Processing von 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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A hybrid Mountain Gazelle particle swarm-based algorithm for constrained optimization problems von 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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Optimization of process synthesis and design problems: A modified differential evolution approach von 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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Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems von 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 generalized computing paradigm based on artificial dynamic models for mathematical programming von Torelli, F., Vaccaro, A.

“… In this paper a novel computing paradigm aimed at solving non linear systems of equations and finding feasible solutions and local optima to scalar and multi objective optimizations problems is conceptualized …”
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Multiobjective evolutionary algorithms for electric power dispatch problem von Abido, M.A.

“… The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA …”
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Multi-period mean–variance portfolio selection with real constraints based on machine learning von Cui, Shulin, Zhang, Peng

“… 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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