Project scheduling: A multi-objective evolutionary algorithm that optimizes the effectiveness of human resources and the project makespan

Author： Yannibelli Virginia  

Publisher： Taylor & Francis Ltd

ISSN： 0305-215X

Source： Engineering Optimization, Vol.45, Iss.1, 2013-01, pp. : 45-65

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Multi-objective optimization in spatial planning: Improving the effectiveness of multi-objective evolutionary algorithms (non-dominated sorting genetic algorithm II)

By  

Engineering Optimization, Vol. 47, Iss. 5, 2015-05 ,pp. : 601-621

Taylor & Francis Ltd

Access to resources Recommend Favorite

A genetic algorithm for multi-mode resource constrained project scheduling problem

By Mori M.   Ching C.T.  

European Journal of Operational Research, Vol. 100, Iss. 1, 1997-07 ,pp. : 134-141

Elsevier

Access to resources Recommend Favorite

A new multi-objective evolutionary algorithm: neighbourhood exploring evolution strategy

By Hu Xiaolin  

Engineering Optimization, Vol. 37, Iss. 4, 2005-06 ,pp. : 351-379

Taylor & Francis Ltd

Access to resources Recommend Favorite

Optimum plate-fin heat sinks by using a multi-objective evolutionary algorithm

By Bureerat S.   Srisomporn S.  

Engineering Optimization, Vol. 42, Iss. 4, 2010-04 ,pp. : 305-323

Taylor & Francis Ltd

Access to resources Recommend Favorite

A hybrid multi-objective evolutionary algorithm for wind-turbine blade optimization

By Sessarego M.   Dixon K.R.   Rival D.E.   Wood D.H.  

Engineering Optimization, Vol. 47, Iss. 8, 2015-08 ,pp. : 1043-1062

Taylor & Francis Ltd

Access to resources Recommend Favorite