Results 11 to 20 of about 9,535,029 (378)
Global Optimization Requires Global Information [PDF]
Journal of Optimization Theory and Applications, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
W. P. Baritompa, Chris Stephens
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Agronomy, 2021 The global optimization of parameters in process-based crop models is often considered computationally expensive. Gaussian process (GP) emulation is a widely used method for reducing the computational burden of the optimization process.
W. B. M. A. C. Bandara +7 more
doaj +1 more source
TREGO: a trust-region framework for efficient global optimization [PDF]
Journal of Global Optimization, 2021 Efficient global optimization (EGO) is the canonical form of Bayesian optimization that has been successfully applied to solve global optimization of expensive-to-evaluate black-box problems.
Y. Diouane +3 more
semanticscholar +1 more source
A Geometric Approach to Global Optimization [PDF]
Journal of Global Optimization, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nickel, Stefan, Schöbel, Anita
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War Strategy Optimization Algorithm: A New Effective Metaheuristic Algorithm for Global Optimization
IEEE Access, 2022 This paper proposes a new metaheuristic optimization algorithm based on ancient war strategy. The proposed War Strategy Optimization (WSO) is based on the strategic movement of army troops during the war.
T. Ayyarao +7 more
semanticscholar +1 more source
Tuna Swarm Optimization: A Novel Swarm-Based Metaheuristic Algorithm for Global Optimization
Computational Intelligence and Neuroscience, 2021 In this paper, a novel swarm-based metaheuristic algorithm is proposed, which is called tuna swarm optimization (TSO). The main inspiration for TSO is based on the cooperative foraging behavior of tuna swarm.
Lei Xie +5 more
semanticscholar +1 more source
Mathematical Biosciences and Engineering, 2022 Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) are two newly developed meta-heuristic algorithms that simulate several intelligent hunting behaviors of Aquila and African vulture in nature, respectively.
Yaning Xiao +5 more
doaj +1 more source
Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies [PDF]
, 2012 This paper proposes the use of multiagent cooperation for solving global optimization problems through the introduction of a new multiagent environment, MANGO.
A. Günay +34 more
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3D NoC Low-Power Mapping Optimization Based on Improved Genetic Algorithm
Micromachines, 2021 Power optimization is an important part of network-on-chip(NoC) design. This paper proposes an improved algorithm based on genetic algorithm on how to properly map IP (Intellectual Property) cores to 3D NoC.
Yu Gan, Hong Guo, Ziheng Zhou
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Global Continuous Optimization with Error Bound and Fast Convergence [PDF]
, 2015 This paper considers global optimization with a black-box unknown objective function that can be non-convex and non-differentiable. Such a difficult optimization problem arises in many real-world applications, such as parameter tuning in machine learning,
Kawaguchi, Kenji +2 more
core +2 more sources