Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives.

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 ...

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...

According to Theyr CEO and Founder David Young, T-VOS differs from earlier generation voyage management software in its adoption of multi-objective algorithmic techniques.

Dr. Maute’s research group is developing novel approaches to topology and shape optimization for nonlinear structural and coupled multi-physics problems, such as fluid-structure interaction and ...

Icing on wind turbine blades reduces energy & can cause damage. New algorithms improve rapid, accurate detection using machine learning. A model, MACOA-IWKELM, boosts performance with weighted data & ...