FUSINTER: a method for discretization of continuous attributes
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Reservoir operation using the neural network and fuzzy systems for dam control and operation support
Advances in Engineering Software
The Coevolution of Antibodies for Concept Learning
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Searching for diverse, cooperative populations with genetic algorithms
Evolutionary Computation
Using genetic algorithms to explore pattern recognition in the immune system
Evolutionary Computation
Development of reservoir operation policies considering variable agricultural water demands
Expert Systems with Applications: An International Journal
Application of immune algorithms on solving minimum-cost problem of water distribution network
Mathematical and Computer Modelling: An International Journal
Hi-index | 12.05 |
We investigated the complexity of reservoir operation and management as a complex adaptive system in this paper. Based on similarities between the process of extracting reservoirs operating rules and the self-adaptive learning behavior of antibody to antigens in the human immune system, a novel reservoir operating rule extraction architecture is proposed. By using the established co-evolution artificial immune system model (Co-EAISM), a case study of a single water-supply reservoir to provide water consumption for municipals, industries and agricultural irrigation is also presented. Twenty four rules are obtained eventually via Co-EAISM after 500 generations. It is demonstrated that they can identify 92.5% of the training samples and 84.4% of the testing samples, while obtaining the shortage index 2.23(10^1^4m^6) between the predicted and practical release during the testing, which are beyond those by using Radius Basis Function (RBF) as a data mining technology for extracting water-supply reservoir operating rules. Three aspects of operating rule diversity, generality and non-linear division are discussed, considering behaviors, performances and impact factors of the Co-EAISM over the evolution. Through the modeling data and the presented case study, the proposed model has some benefits: (a) it is feasible and effective for self-adaptively extracting the reservoir operating rules to provide a novel route for reservoir operation management; (b) it can self-adaptively track the rules, adjust the population of the rules in corresponding to complex operation environment, and make reasonable release decisions; (c) it drives the rules diversity emergence to capture many niches composed of the operating samples with similar operating attributes, to achieve the non-linear division of the operating samples in the binary space, which helps to acquire the spatial distributions of samples and gain the reservoir operation experience; (d) it can also explore the binary space to deal with subsequent complex changes of the operation environment via the character ''#'' in the schemas of the rules, and furthermore provide sufficient decision-making information in view of the physical meanings of the gene schemas contained in the rules.