Results 261 to 270 of about 419,297 (312)
IPO: An Improved Parrot Optimizer for Global Optimization and Multilayer Perceptron Classification Problems. [PDF]
Biomimetics (Basel)Li F, Dai C, Hussien AG, Zheng R.
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Robust Line Segment Matching for Space-Based Stereo Vision via Multi-Constraint Global Optimization. [PDF]
Sensors (Basel)Zhang X, Wang L.
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An improved polar lights optimization algorithm for global optimization and engineering applications. [PDF]
Sci RepHuang T, Huang F, Qin Z, Pan J.
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ANTIGONE: Algorithms for coNTinuous / Integer Global Optimization of Nonlinear Equations [PDF]
Journal of Global Optimization, 2014 This manuscript introduces ANTIGONE, Algorithms for coNTinuous/Integer Global Optimization of Nonlinear Equations, a general mixed-integer nonlinear global optimization framework. ANTIGONE is the evolution of the Global Mixed-Integer Quadratic Optimizer,
Ruth Misener +2 more
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Some of the next articles are maybe not open access.
High equilibrium optimizer for global optimization
Journal of Intelligent & Fuzzy Systems, 2021With the advent of the information age, people have higher requirements for basic algorithms. Meta-heuristic algorithms have received wide attention as a high-level strategy to study and generate fully optimized solutions to data-driven optimization problems.
Heming Jia, Xiaoxu Peng
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On global optimizations with polynomials
Optimization Letters, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jinghao Zhu, Xi Zhang
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Global Interconnect Optimization
ACM Transactions on Design Automation of Electronic Systems, 2019We propose a new comprehensive solution to global interconnect optimization. Traditional buffering algorithms mostly insert repeaters on a net-by-net basis based on slacks and possibly guided by global wires. We show how to integrate routing congestion, placement congestion, global timing constraints, power consumption, and additional ...
Siad Daboul +3 more
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2022
This chapter addresses the recent emerging topic known as safe global optimization, with \textit{safe} meaning that no \textit{safety constraints} are violated while sequentially performing evaluations of the noisy black-box objective function. Safety constraints can also be black-box.
Candelieri A, Kvasov D, Sergeev Y
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This chapter addresses the recent emerging topic known as safe global optimization, with \textit{safe} meaning that no \textit{safety constraints} are violated while sequentially performing evaluations of the noisy black-box objective function. Safety constraints can also be black-box.
Candelieri A, Kvasov D, Sergeev Y
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MONOTONIZATION IN GLOBAL OPTIMIZATION
Chinese Annals of Mathematics, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wu, Zhiyou +2 more
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Global Descent Method for Global Optimization
SIAM Journal on Optimization, 2010This paper develops a novel method—the global descent method—for solving a general class of global optimization problems. This method moves from one local minimizer of the objective function $f$ to a better one at each iteration with the help of an auxiliary function termed the global descent function. The global descent function is not only guaranteed
Chi-Kong Ng +2 more
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