Table 2 Key parameters of the ISCO model for tuning the OEMPTER-ISCSO technique in high-dimensional search spaces.

From: Textual emotion recognition to improve real-time communication of disabled people in sustainable environments using an ensemble deep learning approach

Parameter

Symbol

Description

Typical Range/Value

CHAOS_CONT_PARAM

\(\gamma\)

The range of the chaos sequence is controlled

\(\gamma>1\)

SEARCH_RANGE_LIMIT

\({l}_{\text{max}}\), \({l}_{\text{min}}\)

Lower and upper limits of the search space

Problem-Defined

SENSITIVITY_RANGE

\(r\)

The exploitation-exploration balance is altered

0.1–1

SPIRAL_CONSTANT

\(b\)

Tightness of the spiral pattern is defined

0.5–2

SPIRAL_ROUTE_CO-EFF

\(g\)

Spiral direction is determined [−1, 1]

Random Number in [−1, 1]

STEP_ADJUST_CO-EFF

\(C\)

Step size in the Levy flight is controlled

0.001–1

Levy distribution exponent

\(\beta\)

The Levy distribution is determined

1.5–2

POPU_SIZE

\(N\)

Overall, individuals/agents in the populace

20–50

Logistic chaotic map seed

\({x}_{0}\)

Initial value for chaotic sequence

\({0<x}_{0}<1\)