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 ...

Over the past few years, a variety of surrogate-assisted evolutionary algorithms have emerged, aiming to tackle expensive multi-objective optimization problems. On the other hand, as the problem's ...

Fully-supervised deep neural networks have achieved remarkable progress in medical image segmentation, yet they heavily rely on extensive manually labeled data and exhibit inflexibility for unseen ...

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 ...