The Set Covering Problem (SCP) is a problem of finding the set of weighted subsets of a ground set of elements that minimizes the costs while covering all of the elements
Abstract: Subset sum problem(SSP) is a problem to find subset of elements from the given sets whose ...
The set covering problem (SCP) is an NP-complete optimization problem, fitting with many problems in...
We present a Lagrangian-based heuristic for the well-known Set Covering Problem (SCP). The main char...
In this paper, the set covering problem (SCP) is considered. Several algorithms have been suggested ...
This project involves solution of covering problem of set cover by genetic algorithm, which is ...
In this paper we describe the various stochastic algorithms for combinatorial optimization and then ...
Genetic Algorithms provide a weak search method that scales rather badly when used in their traditio...
[[abstract]]Set covering problem (SCP) is a well-known combinatorial optimization problem. SCP has w...
Genetic Algorithms are evolutionary algorithms used to solve non-deterministic polynomial time probl...
This paper presents a new type of genetic algorithm for the set covering problem. It differs from pr...
Introduction. Practical tasks (location of service points, creation of microcircuits, scheduling, et...
This paper presents a new type of genetic algorithm for the set covering problem. It differs from pr...
An indirect genetic algorithm for the non-unicost set covering problem is presented. The algorithm i...
AbstractEvolutionary algorithms (EAs) are heuristic algorithms inspired by natural evolution. They a...
Set covering problem is a classical problem in computer science and complexity theory. It has many a...
Abstract: Subset sum problem(SSP) is a problem to find subset of elements from the given sets whose ...
The set covering problem (SCP) is an NP-complete optimization problem, fitting with many problems in...
We present a Lagrangian-based heuristic for the well-known Set Covering Problem (SCP). The main char...
In this paper, the set covering problem (SCP) is considered. Several algorithms have been suggested ...
This project involves solution of covering problem of set cover by genetic algorithm, which is ...
In this paper we describe the various stochastic algorithms for combinatorial optimization and then ...
Genetic Algorithms provide a weak search method that scales rather badly when used in their traditio...
[[abstract]]Set covering problem (SCP) is a well-known combinatorial optimization problem. SCP has w...
Genetic Algorithms are evolutionary algorithms used to solve non-deterministic polynomial time probl...
This paper presents a new type of genetic algorithm for the set covering problem. It differs from pr...
Introduction. Practical tasks (location of service points, creation of microcircuits, scheduling, et...
This paper presents a new type of genetic algorithm for the set covering problem. It differs from pr...
An indirect genetic algorithm for the non-unicost set covering problem is presented. The algorithm i...
AbstractEvolutionary algorithms (EAs) are heuristic algorithms inspired by natural evolution. They a...
Set covering problem is a classical problem in computer science and complexity theory. It has many a...
Abstract: Subset sum problem(SSP) is a problem to find subset of elements from the given sets whose ...
The set covering problem (SCP) is an NP-complete optimization problem, fitting with many problems in...
We present a Lagrangian-based heuristic for the well-known Set Covering Problem (SCP). The main char...