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Service computing is a new paradigm and has been widely used in many fields. The multi-objective service selection is a basic problem in service computing and it is non-deterministic polynomial (NP)-hard. This paper proposes a novel multi-objective artificial bees colony (n-MOABC) algorithm to solve service selection problem. A composite service instance is a food source in the algorithm. The fitness...
As more and more cloud services are provided on the web, composite services will increase exponentially. How to select the optimal services for a given composite service is a important problem and is NP-Hard. This paper proposes a multi-objective service selection algorithm based on MOACS(Multi-Objective Ant Colony System) optimization algorithm for this problem. In this problem, two objectives are...
The multi-objective service selection problem is a basic problem in Service Computing and is NP-Hard. This paper proposes a novel Bi-Ant colony optimization multi-objective service selection algorithm for this problem. Two objective functions related with response time and cost attributes are considered. For each objective, a heuristic function and a pheromone updating policy are defined against the...
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