Search Results - "Redondo, J. L."

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  1. 1

    A reference point-based evolutionary algorithm for approximating regions of interest in multiobjective problems by Filatovas, E., Kurasova, O., Redondo, J. L., Fernández, J.

    Published in TOP (01-07-2020)
    “…Most evolutionary multiobjective optimization algorithms are designed to approximate the entire Pareto front. During the last decade, a series of…”
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    Journal Article
  2. 2

    FEMOEA: a fast and efficient multi-objective evolutionary algorithm by Redondo, J. L., Fernández, J., Ortigosa, P. M.

    “…A multi-objective evolutionary algorithm which can be applied to many nonlinear multi-objective optimization problems is proposed. Its aim is to quickly obtain…”
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    Journal Article
  3. 3

    A robust and efficient algorithm for planar competitive location problems by Redondo, J. L., Fernández, J., García, I., Ortigosa, P. M.

    Published in Annals of operations research (01-03-2009)
    “…In this paper we empirically analyze several algorithms for solving a Huff-like competitive location and design model for profit maximization in the plane. In…”
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    Journal Article
  4. 4

    Parallel algorithms for continuous multifacility competitive location problems by Redondo, J. L., Fernández, J., García, I., Ortigosa, P. M.

    Published in Journal of global optimization (01-08-2011)
    “…We consider a continuous location problem in which a firm wants to set up two or more new facilities in a competitive environment. Both the locations and the…”
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  5. 5

    Optimizing building comfort temperature regulation via model predictive control by Álvarez, J.D., Redondo, J.L., Camponogara, E., Normey-Rico, J., Berenguel, M., Ortigosa, P.M.

    Published in Energy and buildings (01-02-2013)
    “…► We implemented a model predictive controller approach in order to control thermal comfort. ► For buildings with a large number of rooms, we use an…”
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  6. 6

    OptiPharm: An evolutionary algorithm to compare shape similarity by Puertas-Martín, S., Redondo, J. L., Ortigosa, P. M., Pérez-Sánchez, H.

    Published in Scientific reports (04-02-2019)
    “…Virtual Screening (VS) methods can drastically accelerate global drug discovery processes. Among the most widely used VS approaches, Shape Similarity Methods…”
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  7. 7

    Improving the performance of a preference-based multi-objective algorithm to optimize food treatment processes by Ferrández, M. R., Redondo, J. L., Ivorra, B., Ramos, A. M., Ortigosa, P. M., Paechter, B.

    Published in Engineering optimization (03-05-2020)
    “…This work focuses on the optimization of some high-pressure and temperature food treatments. In some cases, when dealing with real-life multi-objective…”
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  8. 8

    Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization by Cruz, N. C., Salhi, S., Redondo, J. L., Álvarez, J. D., Berenguel, M., Ortigosa, P. M.

    Published in The Journal of supercomputing (01-03-2019)
    “…The heliostat field of solar power tower plants can suppose up to 50% of investment costs and 40% of energy loss. Unfortunately, obtaining an optimal field…”
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  9. 9

    Sensitivity analysis of a continuous multifacility competitive location and design problem by Redondo, J. L., Fernández, J., García, I., Ortigosa, P. M.

    Published in TOP (01-12-2009)
    “…A continuous location problem in which a firm wants to set up two or more new facilities in a competitive environment is considered. Other facilities offering…”
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    Journal Article
  10. 10

    A parallel Teaching–Learning-Based Optimization procedure for automatic heliostat aiming by Cruz, N. C., Redondo, J. L., Álvarez, J. D., Berenguel, M., Ortigosa, P. M.

    Published in The Journal of supercomputing (2017)
    “…The flux distribution generated by the heliostat field of solar central receiver system (SCRS) over the receiver needs to be carefully controlled. It is…”
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    Journal Article
  11. 11

    High performance computing for the heliostat field layout evaluation by Cruz, N. C., Redondo, J. L., Berenguel, M., Álvarez, J. D., Becerra-Teron, A., Ortigosa, P. M.

    Published in The Journal of supercomputing (2017)
    “…In Solar Central Receiver Systems (SCRS), the heliostat field is generally the most important subsystem in terms of initial investment and energy losses…”
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  12. 12

    High-performance computing for the optimization of high-pressure thermal treatments in food industry by Ferrández, M. R., Puertas-Martín, S., Redondo, J. L., Ivorra, B., Ramos, A. M., Ortigosa, P. M.

    Published in The Journal of supercomputing (01-03-2019)
    “…In food industry, the combined treatments based on high-pressure and temperature (HPT) are frequently used to increase the durability of the products without…”
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  13. 13

    A two-level evolutionary algorithm for solving the facility location and design (1|1)-centroid problem on the plane with variable demand by Redondo, J. L., Arrondo, A. G., Fernández, J., García, I., Ortigosa, P. M.

    Published in Journal of global optimization (01-07-2013)
    “…In this work, the problem of a company or chain (the leader) that considers the reaction of a competitor chain (the follower) is studied. In particular, the…”
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    Journal Article
  14. 14

    Heuristics for the facility location and design (1|1)-centroid problem on the plane by Redondo, J. L., Fernández, J., García, I., Ortigosa, P. M.

    “…A chain (the leader) wants to set up a single new facility in a planar market where similar facilities of a competitor (the follower), and possibly of its own…”
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  15. 15

    Solving a leader–follower facility problem via parallel evolutionary approaches by Arrondo, A. G., Redondo, J. L., Fernández, J., Ortigosa, P. M.

    Published in The Journal of supercomputing (01-11-2014)
    “…A leader–follower facility problem is considered in this paper. The objective is to maximize the profit obtained by a chain (the leader) knowing that a…”
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  16. 16

    On heuristic bi-criterion methods for semi-obnoxious facility location by Ortigosa, P. M., Hendrix, E. M. T., Redondo, J. L.

    “…Locating a semi-obnoxious facility, like an airport or correctional center is typically a bi-criterion problem combining a convex objective function…”
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  17. 17

    On building-up a yearly characterization of a heliostat field: A new methodology and an application example by Cruz, N.C., Ferri-García, R., Álvarez, J.D., Redondo, J.L., Fernández-Reche, J., Berenguel, M., Monterreal, R., Ortigosa, P.M.

    Published in Solar energy (01-10-2018)
    “…•Theoretical expansion of an existing method for heliostat field characterization.•Method to build a yearly predictor of the projected flux map of any…”
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  18. 18

    Parallel evolutionary algorithms based on shared memory programming approaches by Redondo, J. L., García, I., Ortigosa, P. M.

    Published in Journal of supercomputing (01-11-2011)
    “…In this work, two parallel techniques based on shared memory programming are presented. These models are specially suitable to be applied over evolutionary…”
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    Journal Article Conference Proceeding
  19. 19

    Solving the facility location and design (1∣1)-centroid problem via parallel algorithms by Redondo, J. L., Fernández, J., García, I., Ortigosa, P. M.

    Published in Journal of supercomputing (01-12-2011)
    “…Several parallel strategies for solving a centroid problem are presented. In the competitive location problem considered in this paper, the aim is to maximize…”
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    Journal Article Conference Proceeding
  20. 20

    Overflow of dopamine and cholecystokinin in rat nucleus accumbens in response to acute drug administration by Hamilton, Margaret E., Redondo, Jose-Luis, Freeman, Arthur S.

    Published in Synapse (New York, N.Y.) (01-12-2000)
    “…Cholecystokinin octapeptide (CCK‐8) coexists with dopamine (DA) in rat mesencephalic neurons that project to the nucleus accumbens. To obtain indices of…”
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