Single-solution simulated Kalman filter algorithm for global optimisation problems
DOI10.1007/S12046-018-0888-9zbMath1397.90304OpenAlexW2785456392WikidataQ129683071 ScholiaQ129683071MaRDI QIDQ1789165
Zuwairie Ibrahim, Mohd Saberi Mohamad, Nor Hidayati Abdul Aziz, Nor Azlina Ab Aziz, Junzo Watada
Publication date: 10 October 2018
Published in: Sādhanā (Search for Journal in Brave)
Full work available at URL: https://www.ias.ac.in/describe/article/sadh/043/07/0103
Filtering in stochastic control theory (93E11) Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Approximation methods and heuristics in mathematical programming (90C59)
Uses Software
Cites Work
- Unnamed Item
- Optimization by Simulated Annealing
- A survey on optimization metaheuristics
- Variable neighborhood search
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Future paths for integer programming and links to artificial intelligence
- Upper and lower bounds for randomized search heuristics in black-box optimization
- Practical Genetic Algorithms
This page was built for publication: Single-solution simulated Kalman filter algorithm for global optimisation problems