Cooling schedules for optimal annealing
Mathematics of Operations Research
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Evolutionary computation
Efficient and Accurate Parallel Genetic Algorithms
Efficient and Accurate Parallel Genetic Algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators
Artificial Intelligence Review
Genetic Algorithms for Tracking Changing Environments
Proceedings of the 5th International Conference on Genetic Algorithms
Serial and Parallel Genetic Algorithms as Function Optimizers
Proceedings of the 5th International Conference on Genetic Algorithms
A Cooperative Coevolutionary Approach to Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA)
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Global Optimisation by Evolutionary Algorithms
PAS '97 Proceedings of the 2nd AIZU International Symposium on Parallel Algorithms / Architecture Synthesis
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Goal-oriented preservation of essential genetic information by offspring selection
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Improving crossover operator for real-coded genetic algorithms using virtual parents
Journal of Heuristics
Aspects of adaptation in natural and artificial evolution
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Online modelling based on Genetic Programming
International Journal of Intelligent Systems Technologies and Applications
Genetic Programming and Evolvable Machines
Genotypic differences and migration policies in an island model
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Self-adaptive population size adjustment for genetic algorithms
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Classification of tumor marker values using heuristic data mining methods
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Analysis of the dynamics of allele distribution for some selected GA-variants
INES'10 Proceedings of the 14th international conference on Intelligent engineering systems
Advances in applying genetic programming to machine learning, focussing on classification problems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
The allele meta-model – developing a common language for genetic algorithms
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
GA-selection revisited from an ES-Driven point of view
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Information Sciences: an International Journal
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This paper presents a new generic Evolutionary Algorithm (EA) for retarding the unwanted effects of premature convergence. This is accomplished by a combination of interacting generic methods. These generalizations of a Genetic Algorithm (GA) are inspired by population genetics and take advantage of the interactions between genetic drift and migration. In this regard a new selection scheme is introduced, which is designed to directedly control genetic drift within the population by advantageous self-adaptive selection pressure steering. Additionally this new selection model enables a quite intuitive heuristics to detect premature convergence. Based upon this newly postulated basic principle the new selection mechanism is combined with the already proposed Segregative Genetic Algorithm (SEGA), an advanced Genetic Algorithm (GA) that introduces parallelism mainly to improve global solution quality. As a whole, a new generic evolutionary algorithm (SASEGASA) is introduced. The performance of the algorithm is evaluated on a set of characteristic benchmark problems. Computational results show that the new method is capable of producing highest quality solutions without any problem-specific additions.