@article{kesarwani_approximations_2022,
	title = {Approximations for {Pareto} and {Proper} {Pareto} solutions and their {KKT} conditions},
	volume = {96},
	issn = {1432-2994, 1432-5217},
	url = {https://link.springer.com/10.1007/s00186-022-00787-9},
	doi = {10.1007/s00186-022-00787-9},
	abstract = {In this article, we focus on approximate solution concepts in multiobjective optimization. We begin with well-known notions of approximate Pareto and weak Pareto solutions and the key result deduced about these notions is that any sequence converging to a weak Pareto minimizer satisfies an approximate Karush-Kuhn-Tucker (KKT) type necessary optimality condition. We then focus on the notion of approximate Geoffrion proper solutions with a preset bound and characterize them entirely through saddle-point type conditions for the problem with convex data. We also describe the approximate Benson proper solutions completely for a multiobjective problem having convex data through KKT type conditions.},
	language = {en},
	number = {1},
	urldate = {2023-06-17},
	journal = {Mathematical Methods of Operations Research},
	author = {Kesarwani, P. and Shukla, P. K. and Dutta, J. and Deb, K.},
	month = aug,
	year = {2022},
	note = {1 citations (Semantic Scholar/DOI) [2023-06-19]},
	keywords = {/unread},
	pages = {123--148},
}

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