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 ...

In this paper, we aim to find ecient solutions of a multi-objective optimization problem over a linear matrix inequality (LMI in short), in which the objective functions are SOS-convex polynomials. We ...

Multi-Objective Particle Swarm Optimization (MOPSO) and the Multi-Objective Covariance Matrix Adaptation Evolution Strategy (MO-CMA-ES) apply swarm intelligence and probabilistic modeling, ...

The research finds that AI is already revolutionizing energy storage at multiple levels, starting with the performance of ...

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 ...

Using the approach known as multi-objective optimization, Yurchisin says, businesses can balance two or more goals, crafting a model that’s flexible enough to be updated quickly. That’s an especially ...

See how a leading operator increased the effectiveness of capital deployment, improved resource utilization and accelerated ...