Results 21 to 30 of about 167,714 (331)
A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]
This paper introduces a new self-tuning mechanism to the local search heuristic for solving of combinatorial optimization problems. Parameter tuning of heuristics makes them difficult to apply, as parameter tuning itself is an optimization problem.
Cigdem Alabas-Uslu, Berna Dengiz
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An Approach to Aid Decision-Making by Solving Complex Optimization Problems Using SQL Queries
In combinatorial optimization, the more complex a problem is, the more challenging it becomes, usually causing most research to focus on creating solvers for larger cases.
Jose Torres-Jimenez +3 more
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Analysis of cutting stock problem metaheuristic algorithms
The analysis of cutting stock problem and heuristic and metaheuristic algorithms for solving it are presented in this paper.
Jonas Pokštas, Narimantas Listopadskis
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Minimum Entropy Combinatorial Optimization Problems [PDF]
We survey recent results on combinatorial optimization problems in which the objective function is the entropy of a discrete distribution. These include the minimum entropy set cover, minimum entropy orientation, and minimum entropy coloring problems.
Cardinal, Jean +2 more
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Convex Combinatorial Optimization [PDF]
We introduce the convex combinatorial optimization problem, a far reaching generalization of the standard linear combinatorial optimization problem. We show that it is strongly polynomial time solvable over any edge-guaranteed family, and discuss several
Onn, Shmuel, Rothblum, Uriel G.
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Multimode extensions of Combinatorial Optimization problems [PDF]
We review some complexity results and present a viable heuristic approach based on the Variable Neighborhood Search (VNS) framework for multimode extension of combinatorial optimization problems, such as the the Set Covering Problem (SCP) and the Covering Location Problem (CLP).
Cordone, R., Lulli, G.
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Optimization heuristics for the combinatorial auction problem [PDF]
This work presents and compares three heuristics for the combinatorial auction problem. Besides a simple greedy (SG) mechanism, two metaheuristics, a simulated annealing (SA), and a genetic algorithm (GA) approach are developed which use the combinatorial auction process to find an allocation with maximal revenue for the auctioneer.
Michael Schwind +2 more
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Multi-objective Discrete Combinatorial Optimization Algorithm Combining Problem-Decomposition and Adaptive Large Neighborhood Search [PDF]
In order to efficiently obtain solutions for large-scale multi-objective optimization problems in reality, to achieve a balance among convergence, diversity, and uniformity has gradually become one of the important goals in multi-objective optimization ...
WEI Qian, JI Bin
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The article is devoted to the problem of optimization of search request ranking algorithms in the digital information retrieval system. The algorithm of functioning of the neural network ranking unit based on Hopfield neural network is built. The ability
Viera Bartosova +4 more
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Multi-Objective ABC-NM Algorithm for Multi-Dimensional Combinatorial Optimization Problem
This article addresses the problem of converting a single-objective combinatorial problem into a multi-objective one using the Pareto front approach. Although existing algorithms can identify the optimal solution in a multi-objective space, they fail to ...
Muniyan Rajeswari +5 more
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