Stochastic Optimization is (Almost) as easy as Deterministic Optimization (original) (raw)
Related papers
Deterministic Models and Optimization
Springer Optimization and Its Applications, 2017
Discrete search methods for optimizing stochastic systems
Computers & Industrial Engineering, 1998
Challenges to optimization techniques in a deregulated environment
University of West Bohemia. Faculty of electrical engineering. Department of electrical power engineering and environmental engineering, 2005
BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems
SpringerBriefs in optimization, 2015
Data-Driven Nonsmooth Optimization
SIAM Journal on Optimization, 2020
Applied Optimization, 2000
Empirical models, rules, and optimization
High-dimensional black-box optimization under uncertainty
Computers & Operations Research, 2022
Methods For Large-Scale Unconstrained Optimization
Wiley Encyclopedia of Operations Research and Management Science, 2011
Building and Environment, 2004
Variance Regularization for Accelerating Stochastic Optimization
arXiv (Cornell University), 2020
Optimization Methods for Decision Making under Uncertainty
2017
Statistical Machine Learning for Large-Scale Optimization
2000
Optimal dynamic resource allocation to prevent defaults
Operations Research Letters, 2016
A Comparative Study of Large-Scale Nonlinear Optimization Algorithms
Springer eBooks, 2003
The costs of complex model optimization
Chemometrics and Intelligent Laboratory Systems, 2013
Simulation optimization via gradient-based stochastic search
Proceedings of the Winter Simulation Conference 2014, 2014
Simulation Optimization and a Case Study
Encyclopedia of Business Analytics and Optimization
Toward unification of exact and heuristic optimization methods
International Transactions in Operational Research, 2013
An Evolutionary Approach to Combinatorial Optimization Problems
1994
Critical path selection for performance optimization
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1993
Parallel Strategies for Stochastic Evolution
Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), 2007
A unified view of cost-based heuristics
2009
Optimization for Decision Making II
2020
Preface to the Special Issue on Applied Combinatorial Optimization
Maria E L I Z A B E T H Urquhart
International Transactions in Operational Research, 2016
Scalar optimization with linear and NOnlinear Constraints using EVOlution Strategies
Lecture Notes in Computer Science, 1997
A Learning-Based Approach to Combinatorial Optimization
2011
Efficient computer experiment-based optimization through variable selection
Annals of Operations Research, 2012
Balancing the Influence of Evolutionary Operators for Global optimization
2020 IEEE Congress on Evolutionary Computation (CEC), 2020
Simulation-based Optimization and Decision Making with Imperfect Information
2011
An Optimization Tool for Process Planning and Scheduling
IFIP Advances in Information and Communication Technology, 2014
A new simple algorithm for solution of optimization problems
Journal of International Studies, 2018
An attempt of reduction of optimization costs of complex industrial processes
AIP Conference Proceedings, 2017
Oxford University Press eBooks, 2012
Self-optimization aspects for dynamic scheduling
2010