A novel three-phase trajectory informed search methodology for global optimization
SCIE
SCOPUS
- Title
- A novel three-phase trajectory informed search methodology for global optimization
- Authors
- Lee, J
- Date Issued
- 2007-05
- Publisher
- SPRINGER
- Abstract
- A new deterministic method for solving a global optimization problem is proposed. The proposed method consists of three phases. The first phase is a typical local search to compute a local minimum. The second phase employs a discrete sup-local search to locate a so-called sup-local minimum taking the lowest objective value among the neighboring local minima. The third phase is an attractor-based global search to locate a new point of next descent with a lower objective value. The simulation results through well-known global optimization problems are shown to demonstrate the efficiency of the proposed method.
- Keywords
- global optimization; dynamical systems; deterministic methods; TUNNELING ALGORITHM; GENETIC ALGORITHM; TABU SEARCH; MINIMIZATION; TRUST
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/23437
- DOI
- 10.1007/S10898-006-9
- ISSN
- 0925-5001
- Article Type
- Article
- Citation
- JOURNAL OF GLOBAL OPTIMIZATION, vol. 38, no. 1, page. 61 - 77, 2007-05
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- There are no files associated with this item.
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