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The Combinatorial ANT System for Dynamic Combinatorial Optimization ProblemsThe Combinatorial ANT System for Dynamic Combinatorial Optimization Problems
(2012-03-22)
In this paper is presented a distributed algorithm based on Ant System concepts,called Combinatorial Ant System, to solve dynamic combinatorial optimization problems. Our approach consists of mapping the solution space of ...
Artificial immune systems applied to optimal capacitor placement in radial distribution networks
(2006-12-01)
The capacitor placement problem for radial distribution networks aims to determine capacitor types, sizes, locations and control scheme. This is a combinatorial problem that can be formulated as a mixed integer nonlinear ...
Combinatorial optimization techniques applied to Sudoku¿s solutionAplicación de técnicas de optimización combinatorial a la solución del Sudoku
(Pereira : Universidad Tecnológica de Pereira, 2007)
Se presenta el Sudoku como un problema de optimización combinatorial de única solución y se propone un modelo matemático que lo representa. Se aplican las técnicas de optimización combinatorial Búsqueda Tabú y Algoritmos ...
Neural approach for solving several types of optimization problems
(Springer, 2006-03-01)
Neural networks consist of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of recurrent neural net-works that ...
Minmax regret combinatorial optimization problems: an Algorithmic Perspective
(CAMBRIDGE UNIV PRESS, 2012)
Optimal capacitor placement in radial distribution networks
(Institute of Electrical and Electronics Engineers (IEEE), 2001-11-01)
The capacitor placement (replacement) problem for radial distribution networks determines capacitor types, sizes, locations and control schemes. Optimal capacitor placement is a hard combinatorial problem that can be ...
An application of a multi-objective tabu search algorithm to a bicriteria flowshop problem
(Kluwer Academic PublDordrechtHolanda, 2004)
Learning in Combinatorial Optimization: What and How to Explore
(INFORMS, 2020)
We study dynamic decision making under uncertainty when, at each period, a decision maker implements a solution to a combinatorial optimization problem. The objective coefficient vectors of said problem, which are unobserved ...
Optimal capacitor placement in radial distribution networks
(Institute of Electrical and Electronics Engineers (IEEE), 2014)