Hybrid Model for Solving Multi-Objective Problems Using Evolutionary   Algorithm and Tabu Search
  This paper presents a new multi-objective hybrid model that makes cooperation between the strength of research of neighborhood methods presented by the tabu search (TS) and the important exploration capacity of evolutionary algorithm. This model was implemented and tested in benchmark functions (ZDT1, ZDT2, and ZDT3), using a network of computers. 
Rjab Hajlaoui, Mariem Gzara, Abdelaziz Dammak
cs.AI