Interfaces
Centric selection: a way to tune the exploration/exploitation trade-off
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Genotypic differences and migration policies in an island model
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Overcoming partitioning in large ad hoc networks using genetic algorithms
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework
Genetic Programming and Evolvable Machines
Towards connectivity improvement in VANETs using bypass links
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A multiagent evolutionary algorithm for combinatorial optimization problems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A cellular ant colony optimisation for the generalised Steiner problem
International Journal of Innovative Computing and Applications
Iterated local search for de novo genomic sequencing
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Differential evolution algorithms with cellular populations
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Cellular GEP-induced classifiers
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
A study of the bi-objective next release problem
Empirical Software Engineering
A Parallel Algorithm for the Vehicle Routing Problem
INFORMS Journal on Computing
Effect of topology on diversity of spatially-structured evolutionary algorithms
Proceedings of the 13th annual conference on Genetic and evolutionary computation
A survey on parallel ant colony optimization
Applied Soft Computing
Cellular gene expression programming classifier learning
Transactions on computational collective intelligence V
Comparing cellular and panmictic genetic algorithms for real-time object detection
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Evolutionary algorithm parameter tuning with sensitivity analysis
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
Robust solutions for the software project scheduling problem: a preliminary analysis
International Journal of Metaheuristics
On the improvement of the enhanced distance-based broadcasting algorithm
International Journal of Communication Networks and Distributed Systems
Evolutionary algorithms for the multi-objective test data generation problem
Software—Practice & Experience
A Parallel Algorithm for the Vehicle Routing Problem
INFORMS Journal on Computing
It's fate: a self-organising evolutionary algorithm
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
Wolbachia infection improves genetic algorithms as optimization procedure
TPNC'12 Proceedings of the First international conference on Theory and Practice of Natural Computing
Dynamic Fault-Tolerant three-dimensional cellular genetic algorithms
Journal of Parallel and Distributed Computing
Implementation of cellular genetic algorithms on a CNN chip: Simulations and experimental results
International Journal of Circuit Theory and Applications
Cellular genetic algorithms without additional parameters
The Journal of Supercomputing
Computers and Operations Research
Minimising longest path length in communication satellite payloads via metaheuristics
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Vehicular mobility model optimization using cooperative coevolutionary genetic algorithms
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Benchmarking cellular genetic algorithms on the BBOB noiseless testbed
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Computational Optimization and Applications
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Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book. This class of genetic algorithms is shown to produce impressive results on a whole range of domains, including complex problems that are epistatic, multi-modal, deceptive, discrete, continuous, multi-objective, and random in nature. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and extensions to the basic class of Cellular GAs in order to tackle complex problems more efficiently. On the other hand, practical real world tasks are successfully faced by applying Cellular GA methodologies to produce workable solutions of real-world applications. These methods can include local search (memetic algorithms), cooperation, parallelism, multi-objective, estimations of distributions, and self-adaptive ideas to extend their applicability. The methods are benchmarked against well-known metaheuristics like Genetic Algorithms, Tabu Search, heterogeneous GAs, Estimation of Distribution Algorithms, etc. Also, a publicly available software tool is offered to reduce the learning curve in applying these techniques. The three final chapters will use the classic problem of vehicle routing and the hot topics of ad-hoc mobile networks and DNA genome sequencing to clearly illustrate and demonstrate the power and utility of these algorithms.