Suchergebnisse - artificial intelligence evolution algorithms non-linear programming optimization

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

“… The honey badger algorithm (HBA) is a swarm intelligence algorithm that imitates honey badgers …”
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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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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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Modified differential evolution: a greedy random strategy for genetic recombination von Bergey, Paul K., Ragsdale, Cliff

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

“… In the present study, a novel modified differential evolution [Angira, R., Babu, B.V., 2005a. Optimization …”
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Sustainable maritime inventory routing problem with time window constraints von De, Arijit, Kumar, Sri Krishna, Gunasekaran, Angappa, Tiwari, Manoj Kumar

“… ) 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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Self-adaptive differential evolution algorithm with discrete mutation control parameters von Fan, Qinqin, Yan, Xuefeng

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

“… 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 von Barbosa, Helio J. C., Bernardino, Heder S., Angelo, Jaqueline S.

“… 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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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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TRANSFORM-ANN for online optimization of complex industrial processes: Casting process as case study von Miriyala, Srinivas Soumitri, Subramanian, Venkat R., Mitra, Kishalay

“… 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 von Dornaika, F., Alvarez, J. M., Sappa, A. D., Lopez, A. M.

“… 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 von Linh Cao Hoang, Chuyen T. Nguyen, Anh T. Pham

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Evolutionary Optimization of Constrained k-Means Clustered Assets for Diversification in Small Portfolios von Vijayalakshmi Pai, G.A., Michel, T.

“… 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 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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An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization von García-Pedrajas, Nicolás, Ortiz-Boyer, Domingo, Hervás-Martínez, César

“… The most widely used evolutionary computation paradigm for neural network evolution is evolutionary programming …”
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