Numerical computational method using genetic algorithm for the optimal control problem with terminal constraints and free parameters /

QR koda

Numerical computational method using genetic algorithm for the optimal control problem with terminal constraints and free parameters /

Shranjeno v:

Bibliografske podrobnosti
Glavni avtor:	Yamashita, Yuh.
Drugi avtorji:	Shima, Masasuke.
Format:	Bài viết
Jezik:	English
Teme:	Genetic algorithm Optimal control Optimal singular control Terminal constraint
Oznake:	Označite Brez oznak, prvi označite!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Podobne knjige/članki

A new hybrid genetic algorithm for global optimization /
od: Sotiropoulos, D. G.

Solving optimal control problems by gas /
od: Montero, G.

A Class of Algorithms for Distributed Constraint Optimization
od: Petcu, Adrian
Izdano: (2013)

Optimal control of laser hardening /
od: Homberg, Dietmar.

An evolutionary genetic algorithm for optimization of distributed database queries /
od: Sevinc, Ender.

Numerical Optimization. 2nd ed.
od: Nocedal, Jorge, et al.
Izdano: (2020)

Computation of optimal production plans for manufacturing systems /
od: Jennings, L. S.

Economic power dispatch with valve point effects using bee optimization algorithm /
od: Kumar, Rajesh.

Numerical Engineering Optimization. 1st ed.
od: Öchsner, Andreas, et al.
Izdano: (2020)

Fixed-parameter algorithms for artificial intelligence, constraint satisfaction and database problems /
od: Gottlob, Georg.

Divisorial contractions to 3-dimensional terminal singularities with discrepancy one /
od: Hayakawa, Takayuki.

Optimal measurement placement for static harmonic state estimation in the power systems based on genetic algorithm /
od: Dehkordi, Behzad Mirzaeian.

Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
od: Amador, Leticia, et al.
Izdano: (2020)

A hybrid genetic algorithm for the steiner tree problem in graphs towards optimizations for wireless sensor networks
od: Le, Tang Phu Quy, et al.
Izdano: (2024)

Comparison of genetic algorithm parameter setting methods for chlorine injection optimization /
od: Gibbs, M. S.

Convex Analysis and Monotone Operator Theory in Hilbert Spaces. 2nd ed. 2017
od: Bauschke, Heinz H., et al.
Izdano: (2020)

Optimization : algorithms and consistent approximations /
od: Polak, E. 1931-
Izdano: (1997)

Semi-infinite optimization of controllable processes /
od: Rapoport, E. Y.

Multistage classifiers optimized by neural networks and genetic algorithms /

Unit commitment by a genetic algorithm /
od: Cai, Xiao-Qiang.

Hybrid genetic algorithms for the determination of DNA motifs to satisfy postulate 2-Optimality
od: Dang, Dai Tho, et al.
Izdano: (2022)

Two-norm approach in stability and sensitivity analysis of optimization and optimal control problems /
od: Malanowski, K.

Discrete-Time Optimal Control and Games on Large Intervals. 1st ed. 2017
od: Zaslavski, Alexander J.
Izdano: (2020)

Optimal control /
od: Lewis, Frank L.
Izdano: (2012)

Optimal control systems
od: Desineni Subbaram Naidu
Izdano: (2003)

Necessary conditions of optimal control governed by some semilinear elliptic differential equations /
od: Wang, Gengsheng.

Numerical optimization /
od: Nocedal, Jorge.
Izdano: (1999)

Numerical optimization /
od: Nocedal, Jorge.
Izdano: (1999)

Reinforcement Learning for Optimal Feedback Control
od: Kamalapurkar, Rushikesh, et al.
Izdano: (2020)

Nature-Inspired Algorithms and Applied Optimization. 1st ed. 2018
od: Yang, Xin-She
Izdano: (2020)

An interior point method based reactive optimal power flow incorporating margin enhancement constraints /
od: Song, Hwa-Chang.

Optimization for Robot Modelling with MATLAB
od: Ghafil, Hazim Nasir, et al.
Izdano: (2020)

Model-Free Stabilization by Extremum Seeking
od: Scheinker, Alexander, et al.
Izdano: (2020)

Accounting for greenhouse gas emissions in multiobjective genetic algorithm optimization of water distribution systems /
od: Wu, Wenyan.

Optimization of the parameters of feedwater control system for opr1000 nuclear power plants /

Numerical solution of nonsmooth optimal control problems with an application to the continuous casting process /
od: Makela, Marko M.

Mathematical Modelling, Optimization, Analytic and Numerical Solutions
od: Manchanda, Pammy, et al.
Izdano: (2020)

Control Engineering and Finance. 1st ed. 2018
od: Hacısalihzade, Selim S.
Izdano: (2020)

On the weak maximum principle for optimal control problems with state dependent control constraints /
od: Pinho, M. do R. de.

Nature-Inspired Optimizers
od: Mirjalili, Seyedali, et al.
Izdano: (2020)