A Unified Differential Evolution Algorithm for Global Optimization
Journal Article
·
· IEEE Transactions on Evolutionary Computation.
OSTI ID:1163659
Abstract?In this paper, we propose a new unified differential evolution (uDE) algorithm for single objective global optimization. Instead of selecting among multiple mutation strategies as in the conventional differential evolution algorithm, this algorithm employs a single equation as the mutation strategy. It has the virtue of mathematical simplicity and also provides users the flexbility for broader exploration of different mutation strategies. Numerical tests using twelve basic unimodal and multimodal functions show promising performance of the proposed algorithm in comparison to convential differential evolution algorithms.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- Accelerator & Fusion Research Division
- DOE Contract Number:
- DE-AC02-05CH11231
- OSTI ID:
- 1163659
- Report Number(s):
- LBNL-6703E
- Journal Information:
- IEEE Transactions on Evolutionary Computation., Journal Name: IEEE Transactions on Evolutionary Computation.
- Country of Publication:
- United States
- Language:
- English
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