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

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 ...

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 ...

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 ...

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 ...

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 ...