DocumentCode :
166018
Title :
Enhanced heuristic approach for Travelling Tournament Problem based on extended species abundance models of biogeography
Author :
Gupta, Deepika ; Goel, Lavika ; Chopra, Ashish
Author_Institution :
Comput. Eng. Dept., Delhi Technol. Univ., New Delhi, India
fYear :
2014
fDate :
24-27 Sept. 2014
Firstpage :
1118
Lastpage :
1124
Abstract :
This paper shows a heuristic approach of enhanced simulated annealing based on extended species abundance models of biogeography in order to obtain optimal solution for Travelling Tournament Problem. We upgrade the migration step of BBO by using probabilistic measures and hybridize it with simulated annealing to solve the TTP problem and avoid the problem of local minima. Our proposed hybrid approach converges to an optimal solution for TTP. There is negative impact of non deterministic problems on the TTP solution. We considered all these non-deterministic problems as noise. The physical significance of noise in our algorithm is any existing parameter which can affect the fitness of the habitat. We also calculate the overall cost of TTP for various extended species abundance models of BBO (Linear and Non linear models) to achieve desirable results. We compare the performance of our approach with other methodologies like ACO and PSO.
Keywords :
ant colony optimisation; heuristic programming; particle swarm optimisation; scheduling; simulated annealing; sport; ACO; BBO; PSO; TTP problem; TTP solution; biogeography; extended species abundance models; heuristic approach; nondeterministic problems; probabilistic measures; simulated annealing; travelling tournament problem; Games; Indexes; Mathematical model; Noise; Schedules; Simulated annealing; Uncertainty; ACO and PSO; BBO; Enhanced simulated annealing; Extended Species Models; TTP;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4799-3078-4
Type :
conf
DOI :
10.1109/ICACCI.2014.6968336
Filename :
6968336
Link To Document :
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