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Positioning and Utilizing Sensors on a 3-D Terrain Part II—Solving With a Hybrid Evolutionary Algorithm

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3 Author(s)
Topcuoglu, H.R. ; Comput. Eng. Dept., Marmara Univ., Istanbul, Turkey ; Ermis, M. ; Sifyan, M.

In this paper, we explore using a hybrid evolutionary algorithm (HEA) for deploying and configuring a set of given sensors on a synthetically generated 3-D terrain. In our evolutionary-algorithm (EA) based solution, various methods are considered in order to incorporate specialized operators for hybridization, including problem-specific heuristics for initial population generation, intelligent variation operators (contribution-based-crossover operator and proximity-based-crossover operator), which comprise problem-specific knowledge, and a local-search phase. The experimental study validates finding the optimal balance among visibility-oriented, stealth-oriented, and cost-oriented objectives. The obtained results also indicate the effectiveness and robustness of our HEA-based solution for various practical scenarios with different objectives.

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Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on  (Volume:41 ,  Issue: 4 )