This paper describes a genetic planning system, i.e., a program capable of solving planning problems us-ing evolutionary techniques. As opposed to other ap-proaches in Genetic Planning, we use a variable length chromosomes model in addition to a complex tness function and several enhancements of the Simple Ge-netic Algorithm (Holland 1975), such as multipopula-tions, population reset, weak memetism, tournament se-lection and elitist genetic operators. Our genetic planner is tested on standard planning domains and problems (described in PDDL), is used for parameter and per-formance analysis, and is compared to previous work. Results show efciency in memory management and greater solving power than the predecessors'
Genetic Programming is a form of Evolutionary Computation in which computer programs are evolved by ...
A multi-chromosome GA (Multi-GA) was developed, based upon concepts from the natural world, allowing...
For more than two decades, genetic algorithms (GAs) have been studied by researchers from different ...
This paper describes a genetic planning system, i.e., a program capable of solving planning problems...
Multiple parts process planning (MPPP) is a hard optimization problem that requires the rigor and in...
[[abstract]]Production planning problems with setup decisions, which were formulated as mixed intege...
Abstract. This paper explores the potential of applying Genetic Algorithms to land use planning, a s...
Declarative problem solving, such as planning, poses interestig challenges for Genetic Programming ...
Declarative problem solving, such as planning, poses interesting challenges for Genetic Programming ...
This paper describes the use of evolutionary software techniques for developing both genetic algorit...
This article introduces the concept of variable chromosome lengths in the context of an adaptive gen...
There are several ways of applying Genetic Programming (GP) to STRIPS-like planning in the literat...
Abstract: Genetic programming (GP) is an automated method for creating a working computer program ...
The space layout planning problem belongs to the class of NP-hard problems with a wide range of prac...
The past thirty years have seen a rapid growth in the popularity and use of Genetic Algorithms for s...
Genetic Programming is a form of Evolutionary Computation in which computer programs are evolved by ...
A multi-chromosome GA (Multi-GA) was developed, based upon concepts from the natural world, allowing...
For more than two decades, genetic algorithms (GAs) have been studied by researchers from different ...
This paper describes a genetic planning system, i.e., a program capable of solving planning problems...
Multiple parts process planning (MPPP) is a hard optimization problem that requires the rigor and in...
[[abstract]]Production planning problems with setup decisions, which were formulated as mixed intege...
Abstract. This paper explores the potential of applying Genetic Algorithms to land use planning, a s...
Declarative problem solving, such as planning, poses interestig challenges for Genetic Programming ...
Declarative problem solving, such as planning, poses interesting challenges for Genetic Programming ...
This paper describes the use of evolutionary software techniques for developing both genetic algorit...
This article introduces the concept of variable chromosome lengths in the context of an adaptive gen...
There are several ways of applying Genetic Programming (GP) to STRIPS-like planning in the literat...
Abstract: Genetic programming (GP) is an automated method for creating a working computer program ...
The space layout planning problem belongs to the class of NP-hard problems with a wide range of prac...
The past thirty years have seen a rapid growth in the popularity and use of Genetic Algorithms for s...
Genetic Programming is a form of Evolutionary Computation in which computer programs are evolved by ...
A multi-chromosome GA (Multi-GA) was developed, based upon concepts from the natural world, allowing...
For more than two decades, genetic algorithms (GAs) have been studied by researchers from different ...