Add to ORKGOptimizing a stochastic system with a set of discrete design variables x is an important and difficu...
Discrete optimization problems are everywhere, from traditional operations research planning problem...
10.1016/j.ejor.2004.11.006European Journal of Operational Research1723761-782EJOR
Stochastic optimization is an optimization method that solves stochastic problems for minimizing or ...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
This is a comprehensive and timely overview of the numerical techniques that have been developed to ...
This dissertation considers several common notions of complexity that arise in large-scale systems o...
A new class of algorithms is introduced and analyzed for bound and linearly constrained optimization...
The various general iterative non-deterministic algorithms for combinatorial optimization. » Search,...
Discrete optimization is an important area of Applied Mathematics with a broad spectrum of applicati...
Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult ...
The papers collected in this volume were presented at the Symposium on Mathematical Optimization Tec...
The study of human performance on discrete optimization problems has a considerable history that spa...
Accelerated probabilistic modeling algorithms, presenting stochastic local search (SLS) technique, a...
Abstract:- Generalized algorithms for solving problems of discrete, integer, and Boolean programming...
Optimizing a stochastic system with a set of discrete design variables x is an important and difficu...
Discrete optimization problems are everywhere, from traditional operations research planning problem...
10.1016/j.ejor.2004.11.006European Journal of Operational Research1723761-782EJOR
Stochastic optimization is an optimization method that solves stochastic problems for minimizing or ...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer ...
This is a comprehensive and timely overview of the numerical techniques that have been developed to ...
This dissertation considers several common notions of complexity that arise in large-scale systems o...
A new class of algorithms is introduced and analyzed for bound and linearly constrained optimization...
The various general iterative non-deterministic algorithms for combinatorial optimization. » Search,...
Discrete optimization is an important area of Applied Mathematics with a broad spectrum of applicati...
Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult ...
The papers collected in this volume were presented at the Symposium on Mathematical Optimization Tec...
The study of human performance on discrete optimization problems has a considerable history that spa...
Accelerated probabilistic modeling algorithms, presenting stochastic local search (SLS) technique, a...
Abstract:- Generalized algorithms for solving problems of discrete, integer, and Boolean programming...
Optimizing a stochastic system with a set of discrete design variables x is an important and difficu...
Discrete optimization problems are everywhere, from traditional operations research planning problem...
10.1016/j.ejor.2004.11.006European Journal of Operational Research1723761-782EJOR