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Classification is part of various applications and it is an important problem that represents active research topic. Support vector machine is one of the widely used and very powerful classifier. The accuracy of support vector machine highly depends on learning parameters. Optimal parameters can be efficiently determined by using swarm intelligence algorithms. In this paper, we proposed recent elephant...
A new optimization method based on the Evolutionary Algorithm (EA) is developed for solving the Minimum Cost Hybrid Berth Allocation Problem (MCHBAP) with fixed handling times of vessels. The goal of the MCHBAP is to minimize the total costs of waiting and handling, as well as earliness or tardiness of completion, for all vessels. It is well known that this kind of problem is NP hard. The main problem...
In this paper, a variant of the Load Balanced Resource Location Problem is considered, which arises from network optimization in cases when equity criteria of service providers is important. The problem has numerous applications, for example, in designing telecommunication systems, optimizing Web traffic, server load balancing, Big Data storage and management, etc. In the load balance model considered...
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