Combinatorial problems appear in many areas in science, engineering, biomedicine, business, and operations research. This article presents a new intelligent computing approach for solving combinatorial problems, involving permutations and combinations, by incorporating logic programming. An overview of applied combinatorial problems in various domains is given. Such computationally hard and popular combinatorial problems as the traveling salesman problem are discussed to illustrate the usefulness of the logic programming approach. Detailed discussions of implementation of combinatorial problems with time complexity analyses are presented in Prolog, the standard language of logic programming. These programs can be easily integrated into othe...
This is a collection of examples of the use of combinatorial techniques in practical decision situat...
Oz is a multiparadigm language that supports logic programming as one of its major paradigms. A mult...
International audienceIn this paper, we explore how a student used computer programming to solve cou...
This paper presents a new intelligent computing approach for combinatorics problems by incorporating...
Real life applications involve entities and algorithms that are complex to model and implement. Logi...
157 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.This thesis highlighted combi...
In theoretical computer science, combinatorial optimization problems are about finding an optimal it...
A logic view of 0-1 integer programming problems, providing new insights into the structure of probl...
AbstractMany problems in operations research and hardware design are combinatorial problems which ca...
this paper is to suggest, by analysis and by example, how we are now in a much improved position to ...
. This paper proposes a logic-based approach to optimization that combines solution methods from ma...
Many logic programming based approaches can be used to describe and solve combinatorial search probl...
Integer programming (discrete optimization) is best used for solving problems involving discrete, wh...
Combinatorial optimization problems are ubiquitous in real life and hence a wide range of solving pa...
A combinatorial problem is the problem of finding an object with some desired property among a finit...
This is a collection of examples of the use of combinatorial techniques in practical decision situat...
Oz is a multiparadigm language that supports logic programming as one of its major paradigms. A mult...
International audienceIn this paper, we explore how a student used computer programming to solve cou...
This paper presents a new intelligent computing approach for combinatorics problems by incorporating...
Real life applications involve entities and algorithms that are complex to model and implement. Logi...
157 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.This thesis highlighted combi...
In theoretical computer science, combinatorial optimization problems are about finding an optimal it...
A logic view of 0-1 integer programming problems, providing new insights into the structure of probl...
AbstractMany problems in operations research and hardware design are combinatorial problems which ca...
this paper is to suggest, by analysis and by example, how we are now in a much improved position to ...
. This paper proposes a logic-based approach to optimization that combines solution methods from ma...
Many logic programming based approaches can be used to describe and solve combinatorial search probl...
Integer programming (discrete optimization) is best used for solving problems involving discrete, wh...
Combinatorial optimization problems are ubiquitous in real life and hence a wide range of solving pa...
A combinatorial problem is the problem of finding an object with some desired property among a finit...
This is a collection of examples of the use of combinatorial techniques in practical decision situat...
Oz is a multiparadigm language that supports logic programming as one of its major paradigms. A mult...
International audienceIn this paper, we explore how a student used computer programming to solve cou...