Case-based reasoning: a computer model of subjective assessment
Case-based reasoning: a computer model of subjective assessment
A note on genetic algorithms for large-scale feature selection
Pattern Recognition Letters
Improving accuracy by combining rule-based and case-based reasoning
Artificial Intelligence
Applying case-based reasoning: techniques for enterprise systems
Applying case-based reasoning: techniques for enterprise systems
A Hierarchical Model for Object-Oriented Design Quality Assessment
IEEE Transactions on Software Engineering
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Multi-Species Particle Swarm Optimizer for Multimodal Function Optimization
IEICE - Transactions on Information and Systems
Rule-based and case-based reasoning approach for internal audit of bank
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Global optimization of case-based reasoning for breast cytology diagnosis
Expert Systems with Applications: An International Journal
A hierarchical design of case-based reasoning in the balanced scorecard application
Expert Systems with Applications: An International Journal
Knowledge and intelligent computing system in medicine
Computers in Biology and Medicine
Genetic learning of fuzzy rules based on low quality data
Fuzzy Sets and Systems
Application of a 3NN+1 based CBR system to segmentation of the notebook computers market
Expert Systems with Applications: An International Journal
Using case-base data to learn adaptation knowledge for design
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Expert Systems with Applications: An International Journal
The micro genetic algorithm 2: towards online adaptation in evolutionary multiobjective optimization
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
Designing customer-oriented catalogs in e-CRM using an effective self-adaptive genetic algorithm
Expert Systems with Applications: An International Journal
A case-based reasoning approach to formulating university timetables using genetic algorithms
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Expert Systems with Applications: An International Journal
Introduction of a combination vector to optimise the interpolation of numerical phantoms
Expert Systems with Applications: An International Journal
Case-Based Reasoning adaptation of numerical representations of human organs by interpolation
Expert Systems with Applications: An International Journal
Computers and Operations Research
An application of case-based reasoning with machine learning for forensic autopsy
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Emergency preparedness enables us to effectively handle sudden environmental events. In previous research, we have proposed to develop environmental emergency preparedness systems employing Case-Based Reasoning (CBR) technology, though developing such a CBR system has been stifled by a deficiency of cases and difficulties of case adaptation. In this paper, an Improved Genetic Algorithm (IGA) is put forward to resolve the issue of adaptability, and thus simultaneously overcoming the deficiency of cases. First we introduce the Frame method, which creates a case representation in accordance with the characteristics of, for instance, a sudden chemical leakage event and the system's preparedness for treating this case. Then we present the principle of genetic algorithm (GA) for case adaptation. Next, we introduce an Improved Genetic Algorithm (IGA) that achieves case adaptation in the CBR system. The IGA overcomes simplex GA (SGA)'s defects including premature and slow convergence rate, and also enhances search efficiency for globally optimal solutions. The IGA employs technologies including the Multi-Factor Integrated Fitness Function, the Multi-Parameter Cascade Code method, the Small Section method for generation of an initial population, and Niche technology for genetic operations including selection, crossover, and mutation. The results of SGA and IGA performance testing are also presented. A prototype CBR-IGA environmental emergency preparedness system is developed and introduced, and its applicability is tested using a hypothetical ammonia leakage emergency in one district of Shanghai. The results indicate that the proposed IGA methodology can resolve the adaptation issue and expand the case base effectively in CBR systems for environmental emergency preparedness. Future research opportunities are discussed, including the potential to combine CBR, GA, and Back Propagation-Artificial Neural Network (BP-ANN) to alleviate additional challenges, such as the ''speed and accuracy'' of environmental emergency response.