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A REINFORCED SURROGATE CONSTRAINTS METHOD FOR SEPARABLE NONLINEAR INTEGER PROGRAMMING

open access: yesA REINFORCED SURROGATE CONSTRAINTS METHOD FOR SEPARABLE NONLINEAR INTEGER PROGRAMMING
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Hybrid Surrogate-Based Constrained Optimization With a New Constraint-Handling Method

IEEE Transactions on Cybernetics, 2022
Surrogate-based-constrained optimization for some optimization problems involving computationally expensive objective functions and constraints is still a great challenge in the optimization field. Its difficulties are of two primary types. One is how to handle the constraints, especially, equality constraints; another is how to sample a good point to ...
Yuanping Su, Lihong Xu, Erik D. Goodman
openaire   +2 more sources

Surrogate constraint method for optimal power flow

Proceedings of the 20th International Conference on Power Industry Computer Applications, 1998
This paper represents a technique based on constraints surrogate defined by the maximum entropy principle for optimal power flow (OPF) problems. One of the obstacles impeding the OPF calculations is the problem associated with handling a large number of functional inequality constraints, which cause computational inefficiencies for large power systems.
L. Chen, S. Matoba, H. Inabe, T. Okabe
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A method for determining optimal multipliers in the surrogate constraint method

Electronics and Communications in Japan (Part III: Fundamental Electronic Science), 2005
It has recently been important to obtain optimal solutions to multidimensional nonlinear integer programming problems with multiple constraints. The surrogate constraint method is very effective in obtaining high-quality solutions of the original multidimensional problems. The surrogate constraint method translates a multidimensional problem into a one-
Yuji Nakagawa   +3 more
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Expensive Inequality Constraints Handling Methods Suitable for Dynamic Surrogate-based Optimization

2019 IEEE Congress on Evolutionary Computation (CEC), 2019
In modern engineering design optimization problems, high-fidelity analyses are always used for evaluating objectives and constraints, which might be quite expensive. Thus, efficient global optimization method should be developed to relieve the computational burden.
Chunna Li, Hai Fang, Chunlin Gong
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