Assessing the Uses of NLP-based Surrogate Models for Solving Expensive Multi-Objective Optimization Problems: Application to Potable Water Chains. - Florin Capitanescu; Antonino Marvuglia; Enrico Benetto; Aras Ahmadi; Ligia Tiruta-Barna (EnviroInfo/ICT4S (1), 2015)

Some efficient approaches for multi-objective constrained optimization of computationally expensive black-box model problems. - Florin Capitanescu; Aras Ahmadi; Enrico Benetto; Antonino Marvuglia; Ligia Tiruta-Barna (Comput. Chem. Eng., 2015)

Memory-based adaptive partitioning (MAP) of search space for the enhancement of convergence in Pareto-based multi-objective evolutionary algorithms. - Aras Ahmadi (Appl. Soft Comput., 2016)

An archive-based multi-objective evolutionary algorithm with adaptive search space partitioning to deal with expensive optimization problems: Application to process eco-design. - Aras Ahmadi; Ligia Tiruta-Barna; Florin Capitanescu; Enrico Benetto; Antonino Marvuglia (Comput. Chem. Eng., 2016)

Linear programming-based directed local search for expensive multi-objective optimization problems: Application to drinking water production plants. - Florin Capitanescu; Antonino Marvuglia; Enrico Benetto; Aras Ahmadi; Ligia Tiruta-Barna (Eur. J. Oper. Res., 2017)