Table 1 Parameter settings of MOPSO, NSGAII, NSGAIII, MOJS, MOGNDO and UMOJS.

From: A UAV path planning method based on the framework of multi-objective jellyfish search algorithm

Algorithm

Parameter

MOPSO

Number of Repository size: Nrep = 100

Number of grid cells per each dimension: ngrid = 20

Inertia weight: w = 0.4

Personal coefficient: Random values from 0 to 1 c1

Social coefficient: Random values from 0 to 1 c2

NSGAII

Crossover Percentage: PCR = 0.7

Mutation Percentage: PM = 0.4

Mutation Rate: MU = 0.02

NSGAIII

Crossover Percentage: PCR = 0.7

Mutation Percentage: PM = 0.4

Mutation Rate: MU = 0.02

MOJS

Number of Repository size: Nrep = 100

Time control mechanism constant: C0 = 0.5

Distribution coefficient: β = 3

Motion coefficient: γ = 0.1

Number of grid cells per each dimension: ngrid = 20

MOGNDO

Number of Repository size: Nrep = 100

UMOJS

Time control mechanism constant: C0 = 0.5

Distribution coefficient: β = 3

Motion coefficient: γ = 0.1