Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Exploring Constraint Handling Techniques in Real-world Problems on
  MOEA/D with Limited Budget of Evaluations   Finding good solutions for Multi-objective Optimization (MOPs) Problems is
considered a hard problem, especially when considering MOPs with constraints.
Thus, most of the works in the context of MOPs do not explore in-depth how
different constraints affect the performance of MOP solvers. Here, we focus on
exploring the effects of different Constraint Handling Techniques (CHTs) on
MOEA/D, a commonly used MOP solver when solving complex real-world MOPs.
Moreover, we introduce a simple and effective CHT focusing on the exploration
of the decision space, the Three Stage Penalty. We explore each of these CHTs
in MOEA/D on two simulated MOPs and six analytic MOPs (eight in total). The
results of this work indicate that while the best CHT is problem-dependent, our
new proposed Three Stage Penalty achieves competitive results and remarkable
performance in terms of hypervolume values in the hard simulated car design
MOP.

4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
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The categories of this paper are: acc-phys
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The categories of this paper are: patt-sol
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The categories of this paper are: math
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-alg
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-lat
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The categories of this paper are: dg-ga
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The categories of this paper are: gr-qc
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The categories of this paper are: cmp-lg
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The categories of this paper are: bayes-an
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The categories of this paper are: supr-con