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Sufficient Optimality Criteria for Optimization Problem Involving Pseudoconvex Interval Objective Function

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Proceedings of the Seventh International Conference on Mathematics and Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1412))

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Abstract

In this article, the pseudoconvex property of a class of functions, whose parameters vary within some closed intervals, is studied under generalized Hukuhara differentiability concept. The necessary and sufficient condition for the existence of a critical point of interval-valued minimization problem is derived using descent property. Sufficient optimality conditions are established for a critical point to be a weak efficient point under pseudoconvexity assumption. Numerical illustrations are provided to justify the theoretical results.

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Correspondence to Priyanka Roy .

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Roy, P., Panda, G. (2022). Sufficient Optimality Criteria for Optimization Problem Involving Pseudoconvex Interval Objective Function. In: Giri, D., Raymond Choo, KK., Ponnusamy, S., Meng, W., Akleylek, S., Prasad Maity, S. (eds) Proceedings of the Seventh International Conference on Mathematics and Computing . Advances in Intelligent Systems and Computing, vol 1412. Springer, Singapore. https://doi.org/10.1007/978-981-16-6890-6_50

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