HARRIS HAWKS OPTIMIZATION
DR. AHMED FOUAD ALI
FACULTY OF COMPUTERS AND INFORMATICS
SUEZ CANAL UNIVERSITY
Outline
Harris hawks optimization (HHO) (History and main idea).
Social behaviors and hunting strategy.
Harris hawks optimization algorithm (HHO).
Diversification phase (exploration).
Switch between diversification (exploration) and intensification (exploitation).
Intensification phase (exploitation).
Soft (smooth) besiege strategy.
Hard besiege strategy.
Soft (smooth) besiege strategy and progressive quick pounce.
Hard besiege strategy and progressive quick pounce.
Pseudo-code of Harris hawks optimization algorithm (HHO).
References.
Harris hawks optimization (HHO) (History and main
idea)
Harris hawks optimization (HHO) is a population-
based swarm intelligence algorithm which is
proposed by Heidari et al.
HHO mimics the hunting strategy of the Harris
hawks birds.
They are predators birds that are living in a group
and they are hunting their prey in a smart way.
Social behaviors and hunting strategy.
Harris hawks are smart birds and they are living
in groups.
Harris's hawk has a unique foraging behavior
because it attacks prey with other group members
while other raptors hunt a chase alone.
They are monitoring,encircling and finally
attacking the prey.
Social behaviors and hunting strategy (Cont.)
In the morning, the individuals in the group start
the hunting mission by living the reminder roosts
and land on huge trees in their home kingdom.
Each member of the group knows the position of
the other members during the hunting process.
The foraging party starts by exploring the hunting
area from some group members and then perch on
rather perches.
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
1
/
22
100%
