Experiments with Variants of Ant Algorithms - UPCommons

Recommend Documents

Ant Colony Optimization Algorithms with Local

Dec 29, 2008 - System (AS), the Ant Colony System (ACS), and the MAX-MIN Ant. System (MMAS). In order to make these simple algorithms effective in such a ...

Mean Square Convergence of Consensus Algorithms ... - UPCommons

firi and Stilwell in [20] show that consensus is asymptotically achieved in random directed ..... putation: Numerical Methods. Englewood Cliffs, NJ: Prentice-Hall,.

A combination of clustering algorithms with Ant Colony ... - CiteSeerX

of each sub-TSP. We also design an algorithm to combine the sub-tours found in the second stage in order to get a final solution of the original TSP instance.

Offshore exposure experiments on cuttlefish indicate ... - UPCommons

Apr 5, 2017 - Offshore noise controlled exposure experiments (CEE) on common ..... m) sampling squares were placed along the centre length of the area at 5, ..... Competing Interests: The authors declare no competing financial interests.

project fuse aerial suppression experiments - UPCommons

May 5, 2010 - The Victorian Department of Sustainability and Environment supplied ... vegetation that was being run by CSIRO and the Bushfire CRC. Project ...

Cultural Algorithms: Concepts and Experiments

[email protected]. Abstract- ... We will call this property of the culture to create general schemes ... In view of these concepts, the central idea of this article consists ...

Web Page Classification with Ant Colony Algorithms - CiteSeerX

the files (i.e. HTML and email), images and any other media available. ... href="http://www.domain.com/page.html">Descrip tion Text such a link usually ...

Ant Algorithms for the University Course Timetabling Problem with

of ant algorithms solving the university course timetabling problem are ... developed later as an approach alternative to the ACO (ACS in fact) developed for the ...

Ant Algorithms for the University Course Timetabling Problem with ...

with Regard to the State-of-the-Art. Krzysztof Socha, Michael Sampels, and Max Manfrin. IRIDIA, UniversitÃ© Libre de Bruxelles, CP 194/6,. Av. Franklin D.

Master Thesis ALGORITHMS FOR PROCESS ... - UPCommons

Sep 4, 2010 - 4.4 Model and Log for the Bank Running Example Process . ...... ProM 6, is expected in the Bussiness Process Management (BPM) ...... Weijters, A. J. M. M. Process mining for ubiquitous mobile systems: An overview and.

Ant algorithms and stigmergy - Google Sites

timization, routing in communication networks, task allocation in a multi-robot system, exploratory data analysis, graph

Ant Algorithms for Discrete Optimization - Idsia

For example, in the above described foraging behavior of ants, stigmergetic communication is at work via .... By analogy, we call this numeric information artificial pheromone trail, pheromone trail for ..... component of the ACO meta-heuristic (li

Multi Colony Ant Algorithms - Springer Link

In multi colony ant algorithms several colonies of ants cooperate in finding good solutions for an ...... âThe Ant System: Optimization by a Colony of Cooperating.

Ant algorithms and stigmergy - ULB CoDE

that appear in the course of the day so as to keep the global demand as low as possible. The probability that mailman i, located in zone zi, respond to a demand.

Ant-colony algorithms for permutation flowshop ... - CiteSeerX

Lecture Notes in Computer Science No. 1803 ... lative to the best heuristic solutions reported by. Liu and .... scheduled jobs as present in the best sequence.

Targeted removal of ant colonies in ecological experiments, using hot ...

Walter R. Tschinkel a and Joshua R. King. Department of Biological Science, ..... Alpert-Abrams, Patrick Landreman, Adrian Smith and Dacia Drury helped tote ...

Targeted removal of ant colonies in ecological experiments, using hot ...

from a large tank through a long coil of copper tubing within the kiln to produce 4 to 5 l. of hot water per min. The hot water was collected in 20 l. buckets and ...

performance of different ant-based algorithms for optimization of mixed ...

superlative ant algorithms in discrete and/or continuous domains. ...... purchase and fixing the pipes which is dependent on the pipes' diameters (Costd).

Application of ant colony algorithms for diagnosis of

AbstractâIn this paper, we propose diagnostic modules for complex and dynamic systems. These modules are based on three ant colony algorithms, which are ...

performance of different ant-based algorithms for optimization of mixed

In which, hf is the friction loss; L is the pipe length; and CH is the Hazen-Williams coefficient. This paper considers a water main system with a pre-defined layout ...

Engineering Diffusive Load Balancing Algorithms Using Experiments

method can be done while half asleep, or while thinking about other things." { Carl Friedrich Gauss (1823), on iterative methods for solving systems of linear.

Mining the Data From Experiments on Algorithms

relationships can be discovered rather than in testing hypothesized relationships. 1 ..... the determinants of the covariance matrices of the a ected clusters. Equation (3) .... Even with the ability to \cheat" we must sift through far too many clust

Experiments in applying evolutionary algorithms to ...

Chicano. A. Directed model checking â Edelkamp et al. The most prominent work to date in the area of heuristic techniques for model checking has been that of ...

Universal Reinforcement Learning Algorithms: Survey and Experiments

May 30, 2017 - cision Process (MDP) [Sutton and Barto, 1998]. Many state- ...... [Sutton and Barto, 1998] Richard Sutton and Andrew Barto. Reinforcement ...

Experiments with Variants of Ant Algorithms - UPCommons

Download PDF

6 downloads 0 Views 431KB Size Report

Comment

A number of extensions of Ant System, the first ant colony optimization. (ACO) algorithm, were proposed in the literature. These extensions typically achieve ...

! " #$% &'()* + ,

! ! "!

# ! $ ! # ! ! % &# !

!" #$

!% # " & %' %( %" %&$) !*$ +

,

,

,

,

%

-

, . . !( / 0$

. 1 .1 2

.

. !($ . . !&$ 3 . . !%0 %*$

. !%$ 4 5 . !-$

.1 !%/$ , .

6 7 . 7. 8 9 !%%$ + . +: 8 !--$

; 1 4 7. +:

<

7.

, . 7.

= !%%$

,

+: <

6

> +:

< +:

2 6

?

7. +: <

.1 6

?

, .

!%0 -% %*$ 2 6 +:

.1 +

, 7. +:

.1

. -

.1

.1 . 2 . ( 7. +: . # 5 . "

! " #" $ $ "

(

$

' '

+ %>

!" #$

,

,

?

6 2

6

.1

5

.1

+ %

6

6 1@ > +

)

,

2

!" #$

+ 6

+ %

#

.1 >

.1

.1 A

> 2:

, 6 7

.1 6 + .1

A .1

.1B24

6

.1

.1

3 . . !-' %0 %*$

. . .

, ) < .

6

. 6

.> 2 >

! $ ! $ A % ! $ ! $

A %

?

) A '

C % A % C D -

D A %

! " #" $ $ "

"

E6

=

!%& %*$ 2 .

7 ! $ E6 !%& %*$

.

6

.

9

6

<

5 !%& %*$ 6 3 .

2

, . 7 . 7. !%%$ + . +: !--$

6

7. <

+: 5

=

.1

2 7.

, F 2 6 6

.1 6 + 6 %

6 A % -

6

C % C %

6

5 %

6

C 6

6 C C (

,

2 7. , , !%%$

= 7. !%#$

5

.1 2B. # 6 2

&

+ -> ( "

: # 6 - 6 2B. 4

, 7. # 6

- 6

<

,

!

2 +:

E= %

+: <

,

, 7 ,

> E6 +:

! " #" $ $ "

/

, =

6

, <

+: +:

< +:

1

+: , > 2

6 +

,6

,

F 2

6 <

>

,

)

,

5

.1 .1B24

6 "'' G7 -"& G4 HG

6 &'' "''

-" %-''

%' 2

, -' , ( #' ,6 F 5 !%-$

= "

+

. %

. !%*$

> 5 A -" A %

A - A '- A % A -

=

> 2

, -"

0

%> ) ! * ! + ! ! ! ! ,-.-/ ,-.-/ ,-.-/ 01 2.334 2.334 2.340 0, 44.1 44.1 44.1 ,55

214/- 214/- 214/3 ,01

2.4.0 2.4.0 2.4./ 230 ) " -" /"

( /" %-" - %-" -"' % -"' 5 .

! "#!

"

7. + (

, , : 6 +

E , - 6 )

<

, 6 # . ,

,

% %' % H

.

6 4

.

7.

GG.7. ,

- .

4

I 2 2B. # 6

.1 5 J

,

, 5 <

,

- 6

- 6

! " #" $ $ "

*

$ '

¼ ' ¼¼ ' ¼ ' ¼¼

! 6

+ (> 7. -> % 77#"8

0 % 9 + ! 77#" ! ! 0 - 5 ,-.-/ ,-.-/ ,-0.. 25 14: .,: /-4: 2.334 2.334 2.4// 053 0-1: 0.: 41,: 44.1 44,. 4424 3/5 44: .1: /.1:

1,: .,: /5-: 214/- 23515 2320. //0 2.4.0 2.442 20.0/ 3.1 53: .0: /1-:

- 6

- 6

+ #

, ( ,

6

% , )

,

Æ

- ,

-

=

, 2

( , = 0&K

L 4

,

(

, % -)

=

%'

+ #> " (

,

(

, - , )

#

2

, . - , , ,

- 6

6 ,

5 ,

- 6

- 6 - , #

.

,

6

7

, J , 6 GG.7.

,

! " #" $ $ "

%%

(> % 77#"8 0 - #

0 % 9 + ! 77#" ! ! 0 ,-.-/ ,-.-/ ,-.11 2/5/: 10: /03: 45: 2.334 2.334 2.4,/ 0-0 /50: 1/: 44.1 44-. 4451 3,, 214/- 23032 23520 //0 /,5: 23:

/32: -2: 2.4.0 2././ 2./22 1/3

#> % 77#"8 -

% 77#" - -# ! 0 ! ! ! ! ,-.-/ ,-.-/ ,-.522 ,-.-/ ,-.-/ 0/ 2.334 2.3/14 2.334 2.334 2.3/032 44.1 44.3 44-. 1/, 44.1 44.3 2.4

214/- 2302. 23-4/ 4/, 214/- 21/0. 3,1

2.4.0 2.4,5 2.442 5/2.4.0 2.4-1 10/

2

6 2B. , GG.7.

"

,

>

, L

,

2 6

, , "> 77#"

$; 0 ! ! ,-.-/ ,-.-/ ,-.-/ 55 2.334 2.334 2.33/ 0-. 44.1 44.1 44.3 140

214/- 214/5 21/.. 34,

2.4.0 2.4.0 2.40, 2-/

%-

&> %

GG.7. +:

GG.7. ,

#

"

.

2

2

,

+:

! " #" $ $ "

%(

/> "#!

, ,

,

2 M N

,

H

+:

)

,

,

= +

, +:

+

<

Æ

,

=

6

=

2

6

N N

2

= $ % * >7 =*? 6 =* $! " ( @ "(6=#

%#

#0///#..0.1 ! A B

C0D E E 6