Keyword: heuristics

Found 5460 papers in total
Multiobjective evolutionary optimization for Elman recurrent neural networks, applied to time series prediction
Multiobjective evolutionary optimization for Elman recurrent neural networks, applied to time series prediction
2005,
In previous works, we showed how Recurrent Neural Networks, trained with Genetic...
A portable and scalable algorithm for a class of constrained combinatorial optimization problems
A portable and scalable algorithm for a class of constrained combinatorial optimization problems
2005,
This paper presents a portable and scalable approach for a class of constrained...
Tabu search embedded simulated annealing for the shortest route cut and fill problem
Tabu search embedded simulated annealing for the shortest route cut and fill problem
2005,
The shortest route cut and fill problem proposed by Henderson et al. is studied in...
A (1−1/e)-approximation algorithm for the generalized assignment problem
A (1−1/e)-approximation algorithm for the generalized assignment problem
2006,
We give a (1− 1/ e )-approximation algorithm for the max-profit generalized...
A reactive local search-based algorithm for the multiple-choice multi-dimensional knapsack problem
A reactive local search-based algorithm for the multiple-choice multi-dimensional knapsack problem
2006,
In this paper, we approximately solve the multiple-choice multi-dimensional knapsack...
A hybrid approach for integer programming combining genetic algorithms, linear programming and ordinal optimization
A hybrid approach for integer programming combining genetic algorithms, linear programming and ordinal optimization
2001,
Hybrid methods are promising tools in integer programming, as they combine the best...
Performance of simulated annealing, tabu search, and evolutionary algorithms for multi-objective network partitioning
Performance of simulated annealing, tabu search, and evolutionary algorithms for multi-objective network partitioning
2006,
Most real optimization problems often involve multiple objectives to optimize. In...
Beam search heuristic to solve stochastic integer problems under probabilistic constraints
Beam search heuristic to solve stochastic integer problems under probabilistic constraints
2005,
This paper proposes a Beam Search heuristic strategy to solve stochastic integer...
An empirical study of hybrid genetic algorithms for the set covering problem
An empirical study of hybrid genetic algorithms for the set covering problem
2005,
The purpose of this paper is to explore the computational performance of several...
Exact disclosure prevention in two-dimensional statistical tables
Exact disclosure prevention in two-dimensional statistical tables
2005,
We propose new formulations for the exact disclosure problem and develop Lagrangian...
Scatter Search in software testing, comparison and collaboration with Estimation of Distribution Algorithms
Scatter Search in software testing, comparison and collaboration with Estimation of Distribution Algorithms
2006,
One of the main tasks software testing includes is the generation of the test cases to...
Solving the product line design with pricing problem using genetic algorithm techniques
Solving the product line design with pricing problem using genetic algorithm techniques
2000,
This research looks at designing a product line that maximizes its market share for a...
Parameter design utilization via neural network and genetic algorithm
Parameter design utilization via neural network and genetic algorithm
2000,
Among the many extensive industrial applications which parameter design optimization...
Multiple crossdocks with inventory and time windows
Multiple crossdocks with inventory and time windows
2006,
Crossdocking studies have mostly been concerned with the physical layout of a...
Comparative approaches to equipment scheduling in high volume factories
Comparative approaches to equipment scheduling in high volume factories
2006,
Mail processing and distribution centers (P&DCs) are large factories that accept,...
A genetic algorithm approach to solving a multiple inventory loading problem
A genetic algorithm approach to solving a multiple inventory loading problem
2003,
In this paper we consider a multiple-inventory loading problem involving a set of...
Scheduling a production–distribution system to optimize the tradeoff between delivery tardiness and distribution cost
Scheduling a production–distribution system to optimize the tradeoff between delivery tardiness and distribution cost
2005,
We consider a make-to-order production–distribution system with one supplier and...
Using metaheuristic compromise programming for the solution of multiple-objective scheduling problems
Using metaheuristic compromise programming for the solution of multiple-objective scheduling problems
2005,
In this paper, we propose a generic approach to find compromise solutions for...
A heuristic approach to the multi-period multi-commodity transportation problem
A heuristic approach to the multi-period multi-commodity transportation problem
2005,
This paper describes an approach to solving a real-world problem which involves the...
CLOSE: a heuristic to solve a precedence-constrained travelling salesman problem with delivery and pickup
CLOSE: a heuristic to solve a precedence-constrained travelling salesman problem with delivery and pickup
2005,
Logistics Management sometimes involves pickup as well as delivery along the route....
An iterative solution for the travelling salesman problem
An iterative solution for the travelling salesman problem
2006,
The travelling salesman problem (TSP) is a typical NP-hard problem. In this paper, a...
An improved genetic algorithm for solving Travelling Salesman Problems
An improved genetic algorithm for solving Travelling Salesman Problems
2005,
An improved genetic algorithm is presented for solving traveling salesman problems....
Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments
Robustness of Kriging when interpolating in random simulation with heterogeneous variances: Some experiments
2005,
This paper investigates the use of Kriging in random simulation when the simulation...
Research on giving weight multi-indicator based on the generalized maximum entropy principle and a genetic algorithm
Research on giving weight multi-indicator based on the generalized maximum entropy principle and a genetic algorithm
2005,
This paper probes into the process of realization for multi-indicator evaluation. In...
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