Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Using genetic algorithms to learn disjunctive rules from examples
Proceedings of the seventh international conference (1990) on Machine learning
Proceedings of the seventh international conference (1990) on Machine learning
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Technical Note: \cal Q-Learning
Machine Learning
The Utility of Knowledge in Inductive Learning
Machine Learning
Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
A Knowledge-Intensive Genetic Algorithm for Supervised Learning
Machine Learning - Special issue on genetic algorithms
Competition-Based Induction of Decision Models from Examples
Machine Learning - Special issue on genetic algorithms
Genetic programming II (videotape): the next generation
Genetic programming II (videotape): the next generation
Adaptive individuals in evolving populations: models and algorithms
Adaptive individuals in evolving populations: models and algorithms
Learning Logical Definitions from Relations
Machine Learning
Learning Sequential Decision Rules Using Simulation Models and Competition
Machine Learning - Special issue on genetic algorithms
Classifier Systems and the Animat Problem
Machine Learning
Machine Learning
Genetic Algorithms and Machine Learning
Machine Learning
Classifier Systems that Learn Internal World Models
Machine Learning
Machine Learning - Special issue on genetic algorithms
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
ECML '93 Proceedings of the European Conference on Machine Learning
Inductive Genetic Programming with Decision Trees
ECML '97 Proceedings of the 9th European Conference on Machine Learning
Coevolutionary, Distributed Search for Inducing Concept Description
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Designing Neural Networks using Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Towards the Genetic Synthesisof Neural Networks
Proceedings of the 3rd International Conference on Genetic Algorithms
Fine-Grained Parallel Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
A Parallel Genetic Heuristic for the Quadratic Assignment Problem
Proceedings of the 3rd International Conference on Genetic Algorithms
A Coevolutionary Approach to Learning Sequential Decision Rules
Proceedings of the 6th International Conference on Genetic Algorithms
Concept Formation and Decision Tree Induction Using the Genetic Programming Paradigm
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Genetic Programming with Local Hill-Climbing
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Dynamic Training Subset Selection for Supervised Learning in Genetic Programming
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
A Coevolutionary Approach to Concept Learning
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
A Theoretical Investigation of a Parallel Genetic Algorithm
Proceedings of the 3rd International Conference on Genetic Algorithms
Induction over large data bases
Induction over large data bases
GA-based Rule Enhancement in Concept Learning
GA-based Rule Enhancement in Concept Learning
Background Knowledge in GA-based Concept Learning
Background Knowledge in GA-based Concept Learning
Search-intensive concept induction
Evolutionary Computation
Evolution, learning, and instinct: 100 years of the baldwin effect
Evolutionary Computation
An analysis of the “universal suffrage” selection operator
Evolutionary Computation
Flexible learning of problem solving heuristics through adaptive search
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 1
SMART+: a multi-strategy learning tool
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 2
Multi-objective learning via genetic algorithms
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Pattern Recognition as Rule-Guided Inductive Inference
IEEE Transactions on Pattern Analysis and Machine Intelligence
Paper: Modeling by shortest data description
Automatica (Journal of IFAC)
| Hi-index | 0.00 |
Genetic Algorithms have been proposed by many authors for Machine Learning tasks. In fact, they are appealing for several different reasons, such as the flexibility, the great exploration power, and the possibility of exploiting parallel processing. Nevertheless, it is still controversial whether the genetic approach can really provide effective solutions to learning tasks, in comparison to other algorithms based on classical search strategies. In this paper we try to clarify this point and we overview the work done with respect to the task of learning classification programs from examples. The state of the art emerging from our analysis suggests that the genetic approach can be a valuable alternative to classical approaches, even if further investigation is necessary in order to come to a final conclusion.