PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Evolving Objects: A General Purpose Evolutionary Computation Library
Selected Papers from the 5th European Conference on Artificial Evolution
JCLEC: a Java framework for evolutionary computation
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue (pp 315-357) "Ordered structures in many-valued logic"
Experimental research in evolutionary computation
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
PISA: a platform and programming language independent interface for search algorithms
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Specifying evolutionary algorithms in XML
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
ESDL: a simple description language for population-based evolutionary computation
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Opt4J: a modular framework for meta-heuristic optimization
Proceedings of the 13th annual conference on Genetic and evolutionary computation
jMetal: A Java framework for multi-objective optimization
Advances in Engineering Software
Design of evolutionary algorithms-A statistical perspective
IEEE Transactions on Evolutionary Computation
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Computer experiments are part of the daily business for many researchers within the area of computational intelligence. However, there is no standard for either human or computer readable documentation of computer experiments. Such a standard could considerably improve the collaboration between experimental researchers, given it is intuitive to use. In response to this deficiency the Intelligent Param eter Utilization Tool ( InPUT ) is introduced. InPUT offers a general and programming language independent format for the definition of parameters and their ranges. It provides services to simplify the implementation of algorithms and can be used as a substitute for input mechanisms of existing frameworks. InPUT reduces code-complexity and increases the reusability of algorithm designs as well as the reproducibility of experiments. InPUT is available as open-source for Java and this will soon also be extended to C++, two of the predominant languages of choice for the development of evolutionary algorithms.