Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
A note on genetic algorithms for large-scale feature selection
Pattern Recognition Letters
Scene recognition using genetic algorithms with semantic nets
Pattern Recognition Letters
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Model-based image interpretation using genetic algorithms
Image and Vision Computing - Special issue: BMVC 1991
Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
An introduction to genetic algorithms
An introduction to genetic algorithms
Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms
Learning gene linkage to efficiently solve problems of bounded difficulty using genetic algorithms
Multi-sensor fusion: fundamentals and applications with software
Multi-sensor fusion: fundamentals and applications with software
Practical genetic algorithms
Feature selection in unsupervised learning via evolutionary search
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
How to solve it: modern heuristics
How to solve it: modern heuristics
Genetic Algorithms and Fuzzy Multiobjective Optimization
Genetic Algorithms and Fuzzy Multiobjective Optimization
Efficient and Accurate Parallel Genetic Algorithms
Efficient and Accurate Parallel Genetic Algorithms
The Simple Genetic Algorithm: Foundations and Theory
The Simple Genetic Algorithm: Foundations and Theory
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: Concepts and Designs with Disk
Genetic Algorithms: Concepts and Designs with Disk
Genetic Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
Genetic Algorithms in Noisy Environments
Machine Learning
Adaptive Selection Methods for Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Genetic Search with Approximate Function Evaluation
Proceedings of the 1st International Conference on Genetic Algorithms
An Investigation of Niche and Species Formation in Genetic Function Optimization
Proceedings of the 3rd International Conference on Genetic Algorithms
Adapting Operator Probabilities in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
GA-Based Parallel Image Registration on Parallel Clusters
Proceedings of the 11 IPPS/SPDP'99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing
Towards an Optimal Mutation Probability for Genetic Algorithms
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Genetic algorithms with multi-parent recombination
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Selected Papers from AISB Workshop on Evolutionary Computing
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
A note on representations and variation operators
IEEE Transactions on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation
Applied Soft Computing
Detection of buried landmines using the possibilistic correlation-dependent fusion methods
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Detection of buried landmines using the possibilistic correlation-dependent fusion methods
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Using Boosting to prune Double-Bagging ensembles
Computational Statistics & Data Analysis
Information fusion in the immune system
Information Fusion
The possibilistic correlation-dependent fusion methods for optical detection
ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
A genetic-algorithm-based fusion system optimization for 3D image interpretation
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Activity recognition: an evolutionary ensembles approach
Proceedings of the 2011 international workshop on Situation activity & goal awareness
Optimal control of mobile monitoring agents in immune-inspired wireless monitoring networks
Journal of Network and Computer Applications
On accurate localization and uncertain sensors
International Journal of Intelligent Systems
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Modern decision-making processes rely on data coming from different sources. Intelligent integration and fusion of information from distributed multi-source, multi-sensor network requires an optimization-centered approach. Traditional optimization techniques often fail to meet the demands and challenges of highly dynamic and volatile information flow. New methods are required, which are capable of fully automated adjustment and self-adaptation to fluctuating inputs and tasks. One such method is Evolutionary algorithms (EA), a generic, flexible, and versatile framework for solving complex problems of global optimization and search in real world applications. The evolutionary approach provides a valuable alternative to traditional methods used in information fusion, due to its inherent parallel nature and its ability to deal with difficult problems. However, the application of the algorithm to a particular problem is often more an art than science. Choosing the right model and parameters requires an in-depth understanding of the morphological development of the algorithm, as well as its recent advances and trends. This paper attempts to give a compact overview of both basic and advanced concepts, models, and variants of Evolutionary algorithms in various implementations and applications particularly those in information fusion. We have brought together material scattered throughout numerous books, journal papers, and conference proceedings. Strong emphasis is made on the practical aspects of the EA implementation, including specific and detailed recommendations drawn from these various sources. However, the practical aspects are discussed from the standpoint of concepts and models, rather than from applications in specific problem domains, which emphasize the generality of the provided recommendations across different applications including information fusion.