Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pseudo-Adaptive Penalization to Handle Constraints in Particle Swarm
  Optimizers   The penalization method is a popular technique to provide particle swarm
optimizers with the ability to handle constraints. The downside is the need of
penalization coefficients whose settings are problem-specific. While adaptive
coefficients can be found in the literature, a different adaptive scheme is
proposed in this paper, where coefficients are kept constant. A pseudo-adaptive
relaxation of the tolerances for constraint violations while penalizing only
violations beyond such tolerances results in a pseudo-adaptive penalization. A
particle swarm optimizer is tested on a suite of benchmark problems for three
types of tolerance relaxation: no relaxation; self-tuned initial relaxation
with deterministic decrease; and self-tuned initial relaxation with
pseudo-adaptive decrease. Other authors' results are offered as frames of
reference.

17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
0
The categories of this paper are: hep-ph