EAB-BES: A Global Optimization Approach for Efficient UAV Path Planning in High-Density Urban Environments. [PDF]
Zhang Y, Xiao W, Yin S.
europepmc +1 more source
Three Strategies Enhance the Bionic Coati Optimization Algorithm for Global Optimization and Feature Selection Problems. [PDF]
Cao Q, Yuan S, Fang Y.
europepmc +1 more source
Evolutionary salp swarm algorithm with multi-search strategies and advanced memory mechanism for solving global optimization and complex engineering problems. [PDF]
Zamani H.
europepmc +1 more source
An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation. [PDF]
Xiang L, Zhao X, Wang J, Wang B.
europepmc +1 more source
Adaptive Differentiated Parrot Optimization: A Multi-Strategy Enhanced Algorithm for Global Optimization with Wind Power Forecasting Applications. [PDF]
Lin G, Abdel-Salam M, Hu G, Jia H.
europepmc +1 more source
Enhanced mutation strategy based differential evolution for global optimization problems. [PDF]
Mishra P, Ali M, Pooja, Islam S.
europepmc +1 more source
Related searches:
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
openaire +2 more sources
This volume contains a thorough overview of the rapidly growing field of global optimization, with chapters on key topics such as • complexity, • heuristic methods, • derivation of lower bounds for minimization problems, and • branch-and-bound methods and convergence.
Hoang Tuy +2 more
+5 more sources
Global Approximation of Local Optimality: Nonsubmodular Optimization
Journal of the Operations Research Society of China, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei-Li Wu, Zhao Zhang, Ding-Zhu Du
openaire +2 more sources
Lipschitz Expensive Global Optimization
2023Global optimization problems are considered in which the objective functions and constraints can be expensive black-box multiextremal functions satisfying the Lipschitz condition over hyperintervals. Some known approaches to addressing these problems are surveyed.
Kvasov D, Sergeev Y
openaire +2 more sources

