Evolutionary Computation: The Fossil Record
Evolutionary Computation: The Fossil Record
Genetic Programming and Evolvable Machines
Complexity Compression and Evolution
Proceedings of the 6th International Conference on Genetic Algorithms
Proceedings of the European Conference on Genetic Programming
EP '97 Proceedings of the 6th International Conference on Evolutionary Programming VI
Schemata evolution and building blocks
Evolutionary Computation
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines
Some Considerations on the Reason for Bloat
Genetic Programming and Evolvable Machines
A theoretical analysis of the HIFF problem
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
"Optimal" mutation rates for genetic search
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Compact representations as a search strategy: compression EDAs
Theoretical Computer Science - Foundations of genetic algorithms
Understanding the biases of generalised recombination: part I
Evolutionary Computation
Limitations of existing mutation rate heuristics and how a rank GA overcomes them
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Increasing the training speed of SVM, the zoutendijk algorithm case
ISSADS'05 Proceedings of the 5th international conference on Advanced Distributed Systems
Compact genetic codes as a search strategy of evolutionary processes
FOGA'05 Proceedings of the 8th international conference on Foundations of Genetic Algorithms
Hi-index | 0.00 |
In evolutionary computation the concept of a fitness landscape has played an important role, evolution itself being portrayed as a hill-climbing process on a rugged landscape. In this article we review the recent development of an alternative paradigm for evolution on a fitness landscape—effective fitness. It is shown that in general, in the presence of other genetic operators such as mutation and recombination, hill-climbing is the exception rather than the rule; a discrepancy that has its origin in the different ways in which the concept of fitness appears—as a measure of the number of fit offspring, or as a measure of the probability to reach reproductive age. Effective fitness models the former not the latter and gives an intuitive way to understand population dynamics as flows on an effective fitness landscape when genetic operators other than reproductive selection play an important role. Additionally, we will show that when the genotype-phenotype map is degenerate, i.e. there exists a synonym symmetry, it can be used to quantify the degree of symmetry breaking of the map, thus allowing for a quantitative explanation of phenomena such as self-adaptation, bloat and evolutionary robustness.