Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...

1. Effective decision-making in environmental management requires the consideration of multiple objectives that may conflict. Common optimization methods use weights on the multiple objectives to ...

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...

4. Optimization problem of a multi-objective monetary policy framework (1) Weights for multiple objectives When a central bank pursues multiple objectives at the same time, mathematically it is a ...

Objective Function and Derivatives The input argument fun refers to an IML module that specifies a function that returns f, a vector of length m for least-squares subroutines or a scalar for other ...

The addition of Simultaneous Multi-Objective Optimization is part of John Galt Solutions' ongoing, composable journey to expand optimization capabilities, empowering customers to make smarter ...

The study presents a lexicographic optimization model to reduce shortages, production variability, and inventory imbalances in multi-echelon supply chains. Combining heuristics and exact methods, the ...