Results 311 to 320 of about 9,535,029 (378)
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Computers & industrial engineering, 2021
Benyamin Abdollahzadeh +2 more
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Benyamin Abdollahzadeh +2 more
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Deterministic Global Optimization with Artificial Neural Networks Embedded
Journal of Optimization Theory and Applications, 2018Artificial neural networks are used in various applications for data-driven black-box modeling and subsequent optimization. Herein, we present an efficient method for deterministic global optimization of optimization problems with artificial neural ...
Artur M. Schweidtmann, A. Mitsos
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Parallel Computing in Global Optimization
2005Global optimization problems arise in a wide range of real-world problems. They include applications in operations research, engineering, biological sciences, and computer science. The effective use of parallel machines in global optimization is a very promising area of research since, due to inherent difficulty of problems it studies, only instances ...
M. D'APUZZO +4 more
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Dung beetle optimizer: a new meta-heuristic algorithm for global optimization
Journal of Supercomputing, 2022Jiankai Xue, Bo Shen
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High-Dimensional Global Optimization Method for High-Frequency Electronic Design
IEEE transactions on microwave theory and techniques, 2019Efficient global optimization of microwave systems is a very challenging task that emerges in importance for rapid design closure and discovery of novel structures.
H. Torun, M. Swaminathan
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Global Optimality Conditions for Nonconvex Optimization
Journal of Global Optimization, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Chernobyl disaster optimizer (CDO): a novel meta-heuristic method for global optimization
Neural computing & applications (Print), 2023Hisham A. Shehadeh
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Optimality conditions for global optimization (I)
Acta Mathematicae Applicatae Sinica, 1985With the help of the theory of measure and integration several global optimality conditions, which are sufficient and necessary, are given for minimizing a continuous function over a topological space.
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Gravitational swarm optimizer for global optimization
Swarm and Evolutionary Computation, 2016Abstract In this paper, a new meta-heuristic method is proposed by combining Particle Swarm Optimization (PSO) and gravitational search in a coherent way. The advantage of swarm intelligence and the idea of a force of attraction between two particles are employed collectively to propose an improved meta-heuristic method for constrained optimization ...
Yadav, Anupam +3 more
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Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems
Engineering computations, 2022Amir Seyyedabbasi, Farzad Kiani
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