Preface: Recent advances in multiple objective optimization and goal programming.

The 2017 International Conference on Multiple Objective Programming and Goal Programming (MOPGP 2017) has been organized to disseminate recent theoretical and methodological developments, significant technical applications, case studies and survey results in the related area. Multiple Objective Programming (MOP), also known in literature as multi-objective optimization, vector optimization, multicriteria optimization, multiattribute optimization or Pareto optimization, is a subarea of Multiple Criteria Decision Making (MCDM) or Multiple Criteria Decision Analysis (MCDA) and it is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. If we suppose that HT <math xmlns="http://www.w3.org/1998/Math/MathML"><msup><mrow><mi mathvariant="double-struck">R</mi></mrow><mi>p</mi></msup></math> ht is ordered by the classical Pareto cone HT <math xmlns="http://www.w3.org/1998/Math/MathML"><msubsup><mrow><mi mathvariant="double-struck">R</mi></mrow><mo>+</mo><mi>p</mi></msubsup></math> ht , then HT <math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi>a</mi><mo»=</mo><mi>b</mi></mrow></math> ht if HT <math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi>a</mi><mo>-</mo><mi>b</mi><mo> </mo><msubsup><mrow><mi mathvariant="double-struck">R</mi></mrow><mo>+</mo><mi>p</mi></msubsup></mrow></math> ht . [Extracted from the article]