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    ABSTRACT: This paper describes an algorithm for reformulation of XQuery queries. The mediation is based on an essential component called mediator. Its main role is to reformulate a user query, written in terms of global schema, into queries written in terms of source schemas. Our algorithm is based on the principle of logical equivalence, simple and complex unification, to obtain a better reformulation. It takes XQuery query, global schema (written in XMLSchema), and mappings GLAV as input parameters and provides resultant query written in terms of source schemas. The results of implementation show the proper functioning of the algorithm
    10/2015; DOI:10.1016/j.jksuci.2015.06.001
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    ABSTRACT: Energy planning considering environment aspect is a vital research area for power system operation and control. This paper introduces an efficient variant namely dance bee colony with dynamic step size adjustment for solving the multi objective economic emission dispatch considering valve point effects. The particularity and robustness of the proposed algorithm is validated on two practical test systems IEEE 30-Bus and to 40 units considering valve point effect and power losses. Results compared to many recent competitive methods confirm the efficiency of the proposed method in term of solution quality and convergence characteristics.
    Energy Procedia 08/2015; 74:65-76. DOI:10.1016/j.egypro.2015.07.524
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    ABSTRACT: In this paper a variant named time varying acceleration based particle swarm optimization (PSO-TVAC) proposed to enhance the solution of the combined environmental economic dispatch problem. The performances of the standard PSO are improved by adjusting dynamically the acceleration coefficient during process search to balance the exploitation and exploration capability. The proposed method is validated on IEEE 30-bus with quadratic cost function considering transmission losses and to 10 unit considering both valve point effect and total power losses. The simulation results are compared with those obtained by particle swarm optimization (PSO), no dominating sorting genetic algorithm (NSGA-II), and strength Pareto evolutionary algorithm (SPEA). The results demonstrate the efficiency of the proposed approach and show its simplicity and robustness to solve the environmental/economic dispatch problem.
    Energy Procedia 08/2015; 74:102-111. DOI:10.1016/j.egypro.2015.07.529


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    07000, Biskra, Algeria
  • Head of Institution
    Prof. Belkacem Selatnia
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Top publications last week by reads

8ème Séminaire International sur la Physique Energétique, Béchar–Algérie, 11 et 12 Novembre 2006; 11/2006
24 Reads
CVA’ 2015, Tizi Ouzou; 04/2015
22 Reads

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Rg score distribution

See how the RG Scores of researchers from Université de Biskra are distributed.