Spectral conjugate gradient methods for vector optimization problems
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DOI: 10.1007/s10589-023-00508-w
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- Parvaneh Faramarzi & Keyvan Amini, 2019. "A Modified Spectral Conjugate Gradient Method with Global Convergence," Journal of Optimization Theory and Applications, Springer, vol. 182(2), pages 667-690, August.
- M. L. N. Gonçalves & L. F. Prudente, 2020. "On the extension of the Hager–Zhang conjugate gradient method for vector optimization," Computational Optimization and Applications, Springer, vol. 76(3), pages 889-916, July.
- Miglierina, E. & Molho, E. & Recchioni, M.C., 2008. "Box-constrained multi-objective optimization: A gradient-like method without "a priori" scalarization," European Journal of Operational Research, Elsevier, vol. 188(3), pages 662-682, August.
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Cited by:
- Jiawei Chen & Yushan Bai & Guolin Yu & Xiaoqing Ou & Xiaolong Qin, 2025. "A PRP Type Conjugate Gradient Method Without Truncation for Nonconvex Vector Optimization," Journal of Optimization Theory and Applications, Springer, vol. 204(1), pages 1-30, January.
- Qingjie Hu & Ruyun Li & Yanyan Zhang & Zhibin Zhu, 2024. "On the Extension of Dai-Liao Conjugate Gradient Method for Vector Optimization," Journal of Optimization Theory and Applications, Springer, vol. 203(1), pages 810-843, October.
- Qing-Rui He & Sheng-Jie Li & Bo-Ya Zhang & Chun-Rong Chen, 2024. "A family of conjugate gradient methods with guaranteed positiveness and descent for vector optimization," Computational Optimization and Applications, Springer, vol. 89(3), pages 805-842, December.
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Keywords
Vector optimization; Pareto optimality; Spectral conjugate gradient method; Unconstrained optimization; Line search algorithm;All these keywords.
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