Racing Sampling Based Microimmune Optimization Approach Solving Constrained Expected Value Programming
This work investigates a bioinspired microimmune optimization algorithm to solve a general kind of single-objective nonlinear constrained expected value programming without any prior distribution. In the study of algorithm, two lower bound sample estimates of random variables are theoretically devel...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2016-01-01
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| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.1155/2016/2148362 |