The Experts below are selected from a list of 266616 Experts worldwide ranked by ideXlab platform
Sancho Salcedo-sanz - One of the best experts on this subject based on the ideXlab platform.
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A Coral Reefs Optimization algorithm for optimal Mobile Network deployment with electromagnetic pollution control criterion
Applied Soft Computing, 2014Co-Authors: Sancho Salcedo-sanz, J. A. Portilla-figueras, Pablo García-díaz, J. Del Ser, Sergio Gil-lopezAbstract:Graphical abstractDisplay Omitted HighlightsA Mobile Network Deployment Problem is tackled using the CRO.The Coral Reefs Optimization is based on corals and corals reefs biology.A full description of the new algorithm is carried out.Experimental comparison with alternative soft-computing algorithms is done. In this paper we apply a novel meta-heuristic approach, the Coral Reefs Optimization (CRO) algorithm, to solve a Mobile Network Deployment Problem (MNDP), in which the control of the electromagnetic pollution plays an important role. The CRO is a new bio-inspired meta-heuristic algorithm based on the growing and evolution of coral reefs. The aim of this paper is therefore twofold: first of all, we study the performance of the CRO approach in a real hard optimization problem, and second, we solve an important problem in the field of telecommunications, including the minimization of electromagnetic pollution as a key concept in the problem. We show that the CRO is able to obtain excellent solutions to the MNDP in a real instance in Alcala de Henares (Madrid, Spain), improving the results obtained by alternative algorithms such as Evolutionary, Particle Swarm Optimization or Harmony Search algorithms.
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Mobile Network deployment under electromagnetic pollution control criterion: An evolutionary algorithm approach
Expert Systems with Applications, 2013Co-Authors: Pablo García-díaz, Sancho Salcedo-sanz, J. A. Portilla-figueras, S. Jiménez-fernándezAbstract:Electromagnetic pollution due to Mobile telephony is one of the most concerning problems arising since the spreading of this technology. Different studies have shown the relationship between continuous exposition to electromagnetic fields and different kinds of pathologies. Despite this, the electromagnetic danger for exposition is not taken into account in recent Mobile Network deployments. In this paper we propose a novel evolutionary algorithm for Mobile Networks deployment, which takes into account the control of the electromagnetic emission from the base stations as one of the key design parameters. The proposed evolutionary approach is a variable-length algorithm, able to produce solutions with different number of base stations. We detail the encoding, operators and a repairing procedure applied to obtain good solutions in terms of coverage, cost and electromagnetic pollution. The algorithm has been tested in a real problem of Mobile Network deployment in Alcalá de Henares, Madrid, Spain, and compare with a greedy (constructive) approach and a meta-heuristic algorithm (Harmony Search), obtaining very good results.
Pablo García-díaz - One of the best experts on this subject based on the ideXlab platform.
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A Coral Reefs Optimization algorithm for optimal Mobile Network deployment with electromagnetic pollution control criterion
Applied Soft Computing, 2014Co-Authors: Sancho Salcedo-sanz, J. A. Portilla-figueras, Pablo García-díaz, J. Del Ser, Sergio Gil-lopezAbstract:Graphical abstractDisplay Omitted HighlightsA Mobile Network Deployment Problem is tackled using the CRO.The Coral Reefs Optimization is based on corals and corals reefs biology.A full description of the new algorithm is carried out.Experimental comparison with alternative soft-computing algorithms is done. In this paper we apply a novel meta-heuristic approach, the Coral Reefs Optimization (CRO) algorithm, to solve a Mobile Network Deployment Problem (MNDP), in which the control of the electromagnetic pollution plays an important role. The CRO is a new bio-inspired meta-heuristic algorithm based on the growing and evolution of coral reefs. The aim of this paper is therefore twofold: first of all, we study the performance of the CRO approach in a real hard optimization problem, and second, we solve an important problem in the field of telecommunications, including the minimization of electromagnetic pollution as a key concept in the problem. We show that the CRO is able to obtain excellent solutions to the MNDP in a real instance in Alcala de Henares (Madrid, Spain), improving the results obtained by alternative algorithms such as Evolutionary, Particle Swarm Optimization or Harmony Search algorithms.
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Mobile Network deployment under electromagnetic pollution control criterion: An evolutionary algorithm approach
Expert Systems with Applications, 2013Co-Authors: Pablo García-díaz, Sancho Salcedo-sanz, J. A. Portilla-figueras, S. Jiménez-fernándezAbstract:Electromagnetic pollution due to Mobile telephony is one of the most concerning problems arising since the spreading of this technology. Different studies have shown the relationship between continuous exposition to electromagnetic fields and different kinds of pathologies. Despite this, the electromagnetic danger for exposition is not taken into account in recent Mobile Network deployments. In this paper we propose a novel evolutionary algorithm for Mobile Networks deployment, which takes into account the control of the electromagnetic emission from the base stations as one of the key design parameters. The proposed evolutionary approach is a variable-length algorithm, able to produce solutions with different number of base stations. We detail the encoding, operators and a repairing procedure applied to obtain good solutions in terms of coverage, cost and electromagnetic pollution. The algorithm has been tested in a real problem of Mobile Network deployment in Alcalá de Henares, Madrid, Spain, and compare with a greedy (constructive) approach and a meta-heuristic algorithm (Harmony Search), obtaining very good results.
J. A. Portilla-figueras - One of the best experts on this subject based on the ideXlab platform.
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A Coral Reefs Optimization algorithm for optimal Mobile Network deployment with electromagnetic pollution control criterion
Applied Soft Computing, 2014Co-Authors: Sancho Salcedo-sanz, J. A. Portilla-figueras, Pablo García-díaz, J. Del Ser, Sergio Gil-lopezAbstract:Graphical abstractDisplay Omitted HighlightsA Mobile Network Deployment Problem is tackled using the CRO.The Coral Reefs Optimization is based on corals and corals reefs biology.A full description of the new algorithm is carried out.Experimental comparison with alternative soft-computing algorithms is done. In this paper we apply a novel meta-heuristic approach, the Coral Reefs Optimization (CRO) algorithm, to solve a Mobile Network Deployment Problem (MNDP), in which the control of the electromagnetic pollution plays an important role. The CRO is a new bio-inspired meta-heuristic algorithm based on the growing and evolution of coral reefs. The aim of this paper is therefore twofold: first of all, we study the performance of the CRO approach in a real hard optimization problem, and second, we solve an important problem in the field of telecommunications, including the minimization of electromagnetic pollution as a key concept in the problem. We show that the CRO is able to obtain excellent solutions to the MNDP in a real instance in Alcala de Henares (Madrid, Spain), improving the results obtained by alternative algorithms such as Evolutionary, Particle Swarm Optimization or Harmony Search algorithms.
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Mobile Network deployment under electromagnetic pollution control criterion: An evolutionary algorithm approach
Expert Systems with Applications, 2013Co-Authors: Pablo García-díaz, Sancho Salcedo-sanz, J. A. Portilla-figueras, S. Jiménez-fernándezAbstract:Electromagnetic pollution due to Mobile telephony is one of the most concerning problems arising since the spreading of this technology. Different studies have shown the relationship between continuous exposition to electromagnetic fields and different kinds of pathologies. Despite this, the electromagnetic danger for exposition is not taken into account in recent Mobile Network deployments. In this paper we propose a novel evolutionary algorithm for Mobile Networks deployment, which takes into account the control of the electromagnetic emission from the base stations as one of the key design parameters. The proposed evolutionary approach is a variable-length algorithm, able to produce solutions with different number of base stations. We detail the encoding, operators and a repairing procedure applied to obtain good solutions in terms of coverage, cost and electromagnetic pollution. The algorithm has been tested in a real problem of Mobile Network deployment in Alcalá de Henares, Madrid, Spain, and compare with a greedy (constructive) approach and a meta-heuristic algorithm (Harmony Search), obtaining very good results.
Sergio Gil-lopez - One of the best experts on this subject based on the ideXlab platform.
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A Coral Reefs Optimization algorithm for optimal Mobile Network deployment with electromagnetic pollution control criterion
Applied Soft Computing, 2014Co-Authors: Sancho Salcedo-sanz, J. A. Portilla-figueras, Pablo García-díaz, J. Del Ser, Sergio Gil-lopezAbstract:Graphical abstractDisplay Omitted HighlightsA Mobile Network Deployment Problem is tackled using the CRO.The Coral Reefs Optimization is based on corals and corals reefs biology.A full description of the new algorithm is carried out.Experimental comparison with alternative soft-computing algorithms is done. In this paper we apply a novel meta-heuristic approach, the Coral Reefs Optimization (CRO) algorithm, to solve a Mobile Network Deployment Problem (MNDP), in which the control of the electromagnetic pollution plays an important role. The CRO is a new bio-inspired meta-heuristic algorithm based on the growing and evolution of coral reefs. The aim of this paper is therefore twofold: first of all, we study the performance of the CRO approach in a real hard optimization problem, and second, we solve an important problem in the field of telecommunications, including the minimization of electromagnetic pollution as a key concept in the problem. We show that the CRO is able to obtain excellent solutions to the MNDP in a real instance in Alcala de Henares (Madrid, Spain), improving the results obtained by alternative algorithms such as Evolutionary, Particle Swarm Optimization or Harmony Search algorithms.
S. Jiménez-fernández - One of the best experts on this subject based on the ideXlab platform.
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Mobile Network deployment under electromagnetic pollution control criterion: An evolutionary algorithm approach
Expert Systems with Applications, 2013Co-Authors: Pablo García-díaz, Sancho Salcedo-sanz, J. A. Portilla-figueras, S. Jiménez-fernándezAbstract:Electromagnetic pollution due to Mobile telephony is one of the most concerning problems arising since the spreading of this technology. Different studies have shown the relationship between continuous exposition to electromagnetic fields and different kinds of pathologies. Despite this, the electromagnetic danger for exposition is not taken into account in recent Mobile Network deployments. In this paper we propose a novel evolutionary algorithm for Mobile Networks deployment, which takes into account the control of the electromagnetic emission from the base stations as one of the key design parameters. The proposed evolutionary approach is a variable-length algorithm, able to produce solutions with different number of base stations. We detail the encoding, operators and a repairing procedure applied to obtain good solutions in terms of coverage, cost and electromagnetic pollution. The algorithm has been tested in a real problem of Mobile Network deployment in Alcalá de Henares, Madrid, Spain, and compare with a greedy (constructive) approach and a meta-heuristic algorithm (Harmony Search), obtaining very good results.
