Keywords: multi-objective optimization, sparse Gaussian process, surrogate model, adaptive grid multi-objective particle swarm optimization algorithm, wind power engineering Citation: Chen Y, Wang L ...

This talk presents some recent advances in model-based evolutionary multi-objective optimization. We first present a regularity based estimation of distribution algorithm that uses a probabilistic ...

The following sections discuss the basic ideas of problem formulation using multi-objective optimization paradigm. 5 A Multi-Objective Genetic Algorithm. In order to deal with the multi-objective ...

Highway alignment selection involves multi-objective decision-making, and it is uncertain and fuzzy. Traditional interactive highway CAD system based on geometric model and numerical calculation model ...

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 ...

Two multi-objective optimization techniques are proposed to solve the MPC tuning problem, namely the lexicographic optimization (LTT) and the compromise optimization (CTT). These techniques lead to ...

Innovative AI techniques in cement formulation lead to eco-friendly mixes, significantly cutting emissions and improving ...

Multi-objective approach to optimize irrigation using a crop simulation model and historical weather data. We propose a machine learning approach based on the crop simulation model WOFOST to assess ...