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Zhou, Xiaojun; Yang, Chunhua; Gui, Weihua

The principle of state transition algorithm and its applications. (Chinese. English summary) Zbl 1474.90369

Acta Autom. Sin. 46, No. 11, 2260-2274 (2020).

Summary: As an intelligent stochastic global optimization methodology, state transition algorithm is proposed based on the concepts of state, state transition and state space representation in modern . Because of its excellent global search ability and fast convergence, state transition algorithm has been applied in various optimization problems. In this paper, firstly, we elaborate the principles and characteristics of the basic state transition algorithm systematically. Then, we illustrate the evolution and elevation of this methodology, including discrete, constrained, and multiobjective state transition algorithms, analysis and optimization of its parameters, development of state transformation operators, and related intelligent strategies, etc. Furthermore, the applications of state transition algorithm are given in terms of nonlinear system identification, industrial process control, machine learning and data ming, etc.

MSC:

90C26	Nonconvex programming, global optimization
90C59	Approximation methods and heuristics in mathematical programming

Keywords:

state transition algorithm; global optimization; intelligent optimization; heuristic search

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