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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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Global leafâtrait mapping based on optimality theory [PDF]
Aim Leaf traits are central to plant function, and key variables in ecosystem models. However recently published global trait maps, made by applying statistical or machine-learning techniques to large compilations of trait and environmental data, differ ...
Benjamin Dechant +2 more
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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 optimality conditions and optimization methods for quadratic assignment problems [PDF]
In this paper some global optimality conditions for general quadratic {0, 1} programming problems with linear equality constraints are discussed and then some global optimality conditions for quadratic assignment problems (QAP) are presented.
Zhiyou Wu
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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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In this paper we establish conditions which ensure that a feasible point is a global minimizer of a quadratic minimization problem subject to box constraints or binary constraints.
Vaithilingam Jeyakumar, A M Rubinov
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