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New Binary Whale Optimization Algorithm for Discrete Optimization Problems

Engineering Optimization, 2020
The whale optimization algorithm (WOA) is an intelligence-based technique that simulates the hunting behaviour of humpback whales in nature. In this article, an adaptation of the original version of the WOA is made for handling binary optimization ...
Abdelazim G Hussien   +2 more
exaly   +2 more sources

Almost Robust Discrete Optimization

European Journal of Operational Research, 2019
The main goal of this paper is to present a simple and tractable methodology for incorporating data uncertainty into optimization models in the presence of binary variables. We introduce the Almost Robust Discrete Optimization (ARDO).
Opher Baron   +3 more
semanticscholar   +3 more sources

Discrete Simulation-Based Optimization Methods for Industrial Engineering Problems: A Systematic Literature Review

Computers and Industrial Engineering, 2019
In recent years, some attention has been driven to modeling, simulation, and optimization techniques capable of representing and improving discrete event systems.
Afonso Teberga Campos   +2 more
exaly   +2 more sources

Ant Algorithms for Discrete Optimization

Artificial Life, 1999
This article presents an overview of recent work on ant algorithms, that is, algorithms for discrete optimization that took inspiration from the observation of ant colonies' foraging behavior, and introduces the ant colony optimization (ACO) metaheuristic.
M. Dorigo, G. D. Di Caro, L. Gambardella
semanticscholar   +5 more sources

Discrete Optimization

Introduction to Applied Optimization, 2020
U. Diwekar
semanticscholar   +2 more sources

Stochastic Discrete Optimization

SIAM Journal on Control and Optimization, 1992
In this paper a stochastic search method is proposed for finding a global solution to the stochastic discrete optimization problem in which the objective function must be estimated by Monte Carlo simulation. Although there are many practical problems of this type in the fields of manufacturing engineering, operations research, and management science ...
Yan, Di, Mukai, H.
openaire   +2 more sources

Optimal Assumptions for Discreteness

Archive for Rational Mechanics and Analysis, 2012
The authors disprove a natural conjecture concerning the topological properties of Sobolev maps in Euclidean spaces. Consider a map \(f:\Omega\to\mathbb R^n\) of Sobolev class \(W^{1,n}\), where \(\Omega\) is a domain in \(\mathbb R^n\). If there exists a finite function \(K\) such that \(\|Df(x)\|^n\leq K(x)\det Df(x)\) for a.e.
Hencl, Stanislav, Rajala, Kai
openaire   +2 more sources

On discrete optimization with ordering

Annals of Operations Research, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elena Fernández 0001   +2 more
openaire   +2 more sources

Discrete Multivariate Optimal Control

Journal of Optimization Theory and Applications, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreea Bejenaru, Monica Pîrvan
openaire   +3 more sources

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