Table 1 Symbol table.

From: Multi-objective particle swarm algorithm based on angular segmentation archive and dynamic update tactics

Symbol

Meaning

N

Number of particles

m

Dimension index of the objective function

n

Dimension of decision variables

M

Objective dimension

\(FEs\)

Sample size on pareto

t

Current iteration number

\(T_{\max }\)

Maximum number of iterations

\(X^{U}\)

The upper bound of the decision variables

\(X^{L}\)

The lower bound of the decision variables

\(f_{i} \left( x \right)\)

The value of the i-th objective function

\(\omega\)

Inertia weight

\(c_{1}\)

Self-learning factor

\(c_{2}\)

Social learning factor

\(r_{1}\)

Random numbers

\(r_{2}\)

Random numbers

\(pbest_{i}\)

Personal best position of particle i

\(gbest\)

Global best position