Optimization of control parameters for genetic algorithms
IEEE Transactions on Systems, Man and Cybernetics
Approaches to consistency adjustment
Journal of Optimization Theory and Applications
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Artificial Intelligence Review
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
An Analysis of the Interacting Roles of Population Size and Crossover in Genetic Algorithms
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Combining different prioritization methods in the analytic hierarchy process synthesis
Computers and Operations Research
Robust decision making using data envelopment analytic hierarchy process
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Incomplete linguistic preference relations to evaluate multimedia authoring system
WSEAS Transactions on Mathematics
WSEAS Transactions on Systems and Control
An application of fuzzy Delphi and fuzzy AHP on evaluating wafer supplier in semiconductor industry
WSEAS Transactions on Information Science and Applications
The coupled method fuzzy-AHP applys to solve multi-criteria decision making problems
WSEAS Transactions on Mathematics
Optimum setting of active filter parameters by using genetic algorithms
SIP'06 Proceedings of the 5th WSEAS international conference on Signal processing
The design of AHPEC in web-based decision support system for making decision
AIC'10/BEBI'10 Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informatics
A linear programming approximation to the eigenvector method in the analytic hierarchy process
Information Sciences: an International Journal
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In the real world, human will face the problem and dilemma to making decision. Making decision is the critical part in choosing the best solution. Multi-criteria decision making (MCDM) is one of the most well known branches of decision making and it is referring to making decision in the presence of multiple criteria. MCDM problem are common occurrences in everyday life. In 1977, Saaty introduced Analytic Hierarchy Process (AHP) to solve the MCDM problem. The AHP is widely used for MCDM. Since AHP has been introduced, it has been applied in numerous situations with impressive results. However, AHP has been also criticized in the literature review, mainly in priority derivation procedure. This paper has identified three main problems in current priority derivation procedure which are: (1) Inconsistency of the judgment, (2) Non-evolutionary computing approach, and (3) Accuracy performance of the prioritization method. To solve the criticism and the problems; this paper proposes AHPEC which is using Evolutionary Computing (EC) to derive priorities in AHP. The AHPEC gives better result compare to the other prioritization methods based on accuracy of derived priorities. The comparison is based on the value of Total Deviation (TD) which is measure accuracy o the solution. The case study from Srdjevic, 2005 was chosen to compare the performance of the AHPEC and the current prioritization methods based on accuracy of the solution as a criterion to be optimized.