- APID
- 3102
- ORCID
- 0000-0003-1004-3429
- Scopus
- 57206395841
- Google Scholar
- https://scholar.google.com/citations?user=VpbnL1MAAAAJ
- Location
- Lucknow, Uttar Pradesh, India
- Expertise
- Optimization
- Areas of interest
- Transportation, Assignment, Production, Sampling, Fuzzy set and theory
- Member since
- August 2023
Biography
Optimization in operations research is a highly active and evolving area of study that focuses on developing and applying mathematical models and algorithms to solve complex decision-making problems in various fields, such as manufacturing, transportation, logistics, healthcare, finance, and energy.
Optimization aims to find the best possible solution to a problem given a set of constraints, where the solution can be measured in terms of some objective function. The objective function could be to minimize cost, maximize profit, or achieve a certain level of performance, among others.
Some popular optimization techniques used in operations research include linear programming, integer programming, nonlinear programming, dynamic programming, stochastic programming, and metaheuristics. These techniques can solve many problems, such as production planning, inventory management, routing and scheduling, facility location, project management, and portfolio optimization.
Recent research in optimization has focused on developing more efficient and robust algorithms for solving large-scale problems, incorporating uncertainty and risk into decision-making and integrating optimization with machine learning and artificial intelligence techniques. Additionally, there has been increasing interest in applying optimization to address social and environmental challenges, such as sustainable resource allocation, disaster management, and social welfare optimization.
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