1. Alsheddy A, Tsang E (201) Guided pareto local search based frameworks for biobjective optimization. In: IEEE congress on evolutionary computation (CEC), pp 1–8
2. Arroyo JEC, Armentano VA (2005) Genetic local search for multi-objective flowshop scheduling problems. Eur J Oper Res 167(3):717–738
3. Borges PC, Hansen MP (1998) A basis for future successes in multiobjective combinatorial optimization. Technical Report IMM-REP-1998-8. Institute of Mathematical Modelling, Technical University of Denmark
4. Cai Xinye, Wei Ou, Huang Zhiqiu (2012) Evolutonary approches for multi-objective next release problem. Comput Inf 31(4):847–875
5. Cai X, Li Y, Fan Z, Zhang Q (2014) An external archive guided multiobjective evolutionary algorithm based on decomposition for combinatorial optimization. IEEE Trans Evol Comput