Volume 53, Number 2, April-June 2019
|Page(s)||445 - 459|
|Published online||18 April 2019|
Multi-objective and discrete Elephants Herding Optimization algorithm for QoS aware web service composition
LIMED Laboratory, University of Bejaia, Faculty of Exact Sciences, Computing Department, 06000, Bejaia, Algeria
* Corresponding author: firstname.lastname@example.org
Accepted: 10 June 2017
The goal of QoS aware web service composition (QoS-WSC) is to provide new functionalities and find a best combination of services to meet complex needs of users. QoS of the resulting composite service should be optimized. QoS-WSC is a global multi-objective optimization problem belonging to NP-hard class given the number of available services. Most of existing approaches reduce this problem to a single-objective problem by aggregating different objectives, which leads to a loss of information. An alternative issue is to use Pareto-based approaches. The Pareto-optimal set contains solutions that ensure the best trade-off between conflicting objectives. In this paper, a new multi-objective meta-heuristic bio-inspired Pareto-based approach is presented to address the QoS-WSC, it is based on Elephants Herding Optimization (EHO) algorithm. EHO is characterised by a strategy of dividing and combining the population to sub population (clan) which allows exchange of information between local searches to get a global optimum. However, the application of others evolutionary algorithms to this problem cannot avoids the early stagnancy in a local optimum. In this paper a discrete and multi-objective version of EHO will be presented based on a crossover operator. Compared with SPEA2 (Strength Pareto Evolutionary Algorithm 2) and MOPSO (Multi-Objective Particle Swarm Optimization algorithm), the results of experimental evaluation show that our improvements significantly outperform the existing algorithms in term of Hypervolume, Set Coverage and Spacing metrics.
Mathematics Subject Classification: 68T20
Key words: QoS / Multi-Objective optimization / Pareto Set / Bio-inspired Algorithms / Elephants Herding optimization / Web service composition
© EDP Sciences, ROADEF, SMAI 2019
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