Optimization and Mathematical Programming
Optimization and Mathematical Programming is a research topic within Control and Systems Engineering. Science Explorer counts 18k research works in it since 1953. 10.0% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the optimization of multi-objective transportation problems, particularly in the context of supply chain management and aggregate production planning. It explores the application of fuzzy goal programming, genetic algorithms, and metaheuristic approaches to address challenges such as fixed charge transportation, sustainable development, and uncertainty in decision-making. The research also delves into techniques like linear fractional programming and intuitionistic fuzzy logic to enhance the efficiency and robustness of transportation problem solutions.
- Fuzzy Goal Programming
- Aggregate Production Planning
- Multi-Objective Optimization
- Fixed Charge Transportation Problem
- Genetic Algorithm
- Linear Fractional Programming
- Intuitionistic Fuzzy
- Supply Chain Management
- Sustainable Development
- Metaheuristic Algorithms
- Research works
- 18k fractional, since 1953
- In the world top 10%
- 1.8k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -13% the tick is no change
- Largest producer
India
28% of the 10 largest, 2022-now