Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dominance Based Crossover Operator for Evolutionary Multi-objective
  Algorithms   In spite of the recent quick growth of the Evolutionary Multi-objective
Optimization (EMO) research field, there has been few trials to adapt the
general variation operators to the particular context of the quest for the
Pareto-optimal set. The only exceptions are some mating restrictions that take
in account the distance between the potential mates - but contradictory
conclusions have been reported. This paper introduces a particular mating
restriction for Evolutionary Multi-objective Algorithms, based on the Pareto
dominance relation: the partner of a non-dominated individual will be
preferably chosen among the individuals of the population that it dominates.
Coupled with the BLX crossover operator, two different ways of generating
offspring are proposed. This recombination scheme is validated within the
well-known NSGA-II framework on three bi-objective benchmark problems and one
real-world bi-objective constrained optimization problem. An acceleration of
the progress of the population toward the Pareto set is observed on all
problems.

20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an