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A hybrid fuzzy evolutionary algorithm for a multi-objective resource allocation problem.
| Content Provider | CiteSeerX |
|---|---|
| Author | Rachmawati, Lily |
| Abstract | In this paper a hybrid fuzzy evolutionary algorithm for a multi-objective resource allocation problem, the student project allocation (SPA) problem, is presented. Student Project Allocation must satisfy a number of soft objectives stemming from multiple points of view. The proposed algorithm employs a fuzzy inference system to model and aggregate the objectives, assuming the role of the fitness function in the evolutionary algorithm. The fuzzy system captures preferences of the decision maker in the compromise between various objectives, thereby guiding the search to interesting regions in the objective space. The results demonstrate the effectiveness of this hybrid approach for a large data set 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Decision Maker Objective Space Interesting Region Fitness Function Multiple Point Fuzzy System Fuzzy Inference System Hybrid Fuzzy Evolutionary Algorithm Multi-objective Resource Allocation Problem Evolutionary Algorithm Various Objective Hybrid Approach Large Data Set Student Project Allocation Soft Objective |
| Content Type | Text |
| Resource Type | Article |
