Relevant bibliographies by topics / Layout problem

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Academic literature on the topic 'Layout problem'

Author: Grafiati
Published: 24 January 2023
Last updated: 13 June 2025

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Journal articles on the topic "Layout problem"

1

PEER, S. K., DINESH K. SHARMA, K. RAVINDRANATH, and M. M. NAIDU. "A MULTI-CRITERIA PROCEDURE FOR THE USER INTERFACE COMPONENTS LAYOUT PROBLEM." Asia-Pacific Journal of Operational Research 26, no. 02 (2009): 257–84. http://dx.doi.org/10.1142/s0217595909002195.

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The multi-criteria facilities layout problem can be formulated as a quadratic assignment model that can handle multiple qualitative and quantitative factors in the objective function. Some studies have shown that the techniques and tools of facilities layout problems can equally be applied for the layout design of user interface components in human-computer interface. This paper presents an alternate approach, which handles multiple qualitative and quantitative factors in a different manner separately in the objective function to obtain the initial layouts. The proposed approach also consists of a layout procedure, in which the pair of facilities with the least composite criterion value has been selected to be placed far apart in the layout to generate an initial layout in the construction procedure. The results of the proposed approach are compared with that of an existing approach which handles a number of qualitative and quantitative factors in the same manner as in the objective function to obtain the initial layouts for the example task of the user interface components layout problem under consideration.
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Meng, G., S. S. Heragu *, and H. Zijm. "Reconfigurable layout problem." International Journal of Production Research 42, no. 22 (2004): 4709–29. http://dx.doi.org/10.1080/0020754042000264590.

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3

Clough, Jill M., and James R. Buck. "Plant Layout Ergonomics: Impact of Problem and Solver Features on Layout Quality." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 6 (1993): 468–71. http://dx.doi.org/10.1177/154193129303700604.

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A study of people solving facility layout problems was made to estimate the effects of problem features on the quality of solutions obtained by novice and experienced subjects. An empirical experiment was conducted. Three features of these problems which were systematically varied in this study were: 1. Problem size, 2. Fraction of strong inter-departmental relationships, and 3. Fraction of departments requiring a non-standard amount of floor space. Both quantitative and subjective layout evaluations were made. It was found that layout quality was not affected by feature 3 for any values of the other features, using either evaluation method, and with either novice or experienced subjects. However, feature 2 proved to be significant for all experimental conditions, both evaluation methods, and with both subject groups. Feature 1 was a significant feature in some situations, but was not significant in others. Some differences in problem solving approaches were observed. There was a significant relationship between the design of higher quality layouts by experienced subjects and the use of a Relationship Diagram. Reducing the problem size and/or percentage of strong inter-departmental relationships in a problem may make a higher quality layout easier to achieve.
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Chklovskii, Dmitri B. "Exact Solution for the Optimal Neuronal Layout Problem." Neural Computation 16, no. 10 (2004): 2067–78. http://dx.doi.org/10.1162/0899766041732422.

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Evolution perfected brain design by maximizing its functionality while minimizing costs associated with building and maintaining it. Assumption that brain functionality is specified by neuronal connectivity, implemented by costly biological wiring, leads to the following optimal design problem. For a given neuronal connectivity, find a spatial layout of neurons that minimizes the wiring cost. Unfortunately, this problem is difficult to solve because the number of possible layouts is often astronomically large. We argue that the wiring cost may scale as wire length squared, reducing the optimal layout problem to a constrained minimization of a quadratic form. For biologically plausible constraints, this problem has exact analytical solutions, which give reasonable approximations to actual layouts in the brain. These solutions make the inverse problem of inferring neuronal connectivity from neuronal layout more tractable.
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Janthanasub, Veerawan, and Phayung Meesad. "Improving the Evolutionary Computation for General Keyboard Arrangement Problem." Applied Mechanics and Materials 804 (October 2015): 337–40. http://dx.doi.org/10.4028/www.scientific.net/amm.804.337.

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Thai traditional computer keyboard layouts are derived from the Thai typewriter keyboard's layout, which supports typing with ten fingers. Hence, this layout is not optimized for typing on touch screen device with one finger. This article presents a new method in arrangement the position of Thai characters on the virtual keyboard to support typing by a single finger. The process of the new method consist of analysing Thai Language to create difference digraph table from Benchmark for Enhancing the Standard of Thai language processing corpus (BEST corpus), designed keyboard layout using evolutionary computation technique and estimated time speed of typing by model human hand movement with Fitts' Law. The experiment shows that new keyboard designed by the proposed method has achieved a typing speed faster than the Thai traditional keyboard layout.
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Kusiak, Andrew, and Sunderesh S. Heragu. "The facility layout problem." European Journal of Operational Research 29, no. 3 (1987): 229–51. http://dx.doi.org/10.1016/0377-2217(87)90238-4.

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7

Tripp, Charles, Darice Guittet, Jennifer King, and Aaron Barker. "A simplified, efficient approach to hybrid wind and solar plant site optimization." Wind Energy Science 7, no. 2 (2022): 697–713. http://dx.doi.org/10.5194/wes-7-697-2022.

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Abstract. Wind plant layout optimization is a difficult, complex problem with a large number of variables and many local minima. Layout optimization only becomes more difficult with the addition of solar generation. In this paper, we propose a parameterized approach to wind and solar hybrid power plant layout optimization that greatly reduces problem dimensionality while guaranteeing that the generated layouts have a desirable regular structure. Thus far, hybrid power plant optimization research has focused on system sizing. We go beyond sizing and present a practical approach to optimizing the physical layout of a wind–solar hybrid power plant. We argue that the evolution strategy class of derivative-free optimization methods is well-suited to the parameterized hybrid layout problem, and we demonstrate how hard layout constraints (e.g., placement restrictions) can be transformed into soft constraints that are amenable to optimization using evolution strategies. Next, we present experimental results on four test sites, demonstrating the viability, reliability, and effectiveness of the parameterized evolution strategy approach for generating optimized hybrid plant layouts. Completing the tool kit for parameterized layout generation, we include a brief tutorial describing how the parameterized evolutionary approach can be inspected, understood, and debugged when applied to hybrid plant layouts.
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8

CHEN, GARY YU-HSIN, and JU-CHIEH LO. "DYNAMIC FACILITY LAYOUT WITH MULTI-OBJECTIVES." Asia-Pacific Journal of Operational Research 31, no. 04 (2014): 1450027. http://dx.doi.org/10.1142/s0217595914500274.

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A problem in multi-objective dynamic facility layout is achieving distance- and adjacency-based objectives for arranging facility layouts across multiple time periods. As a non-deterministic polynomial time-hard problem, it resembles the quadratic assignment problem (QAP), which can be solved through meta-heuristics such as ant colony optimization (ACO). This study investigates three multi-objective approaches coupled with ACO to solve this problem. As the experimental design, we apply the proposed methods to solve the dynamic facility layout problem (DFLP), multi-objective facility layout problem, and multi-objective DFLP based on data sets from the literature to test the quality of the solution. The results show that the proposed methods are effective for solving the problem.
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9

HARMANANI, HAIDAR M., PIERRETTE P. ZOUEIN, and AOUNI M. HAJAR. "A PARALLEL GENETIC ALGORITHM FOR THE GEOMETRICALLY CONSTRAINED SITE LAYOUT PROBLEM WITH UNEQUAL-SIZE FACILITIES." International Journal of Computational Intelligence and Applications 04, no. 04 (2004): 375–400. http://dx.doi.org/10.1142/s1469026804001380.

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Parallel genetic algorithms techniques have been used in a variety of computer engineering and science areas. This paper presents a parallel genetic algorithm to solve the site layout problem with unequal-size and constrained facilities. The problem involves coordinating the use of limited space to accommodate temporary facilities subject to geometric constraints. The problem is characterised by affinity weights used to model transportation costs between facilities, and by geometric constraints between relative positions of facilities on site. The algorithm is parallelised based on a message passing SPMD architecture using parallel search and chromosomes migration. The algorithm is tested on a variety of layout problems to illustrate its performance. In specific, in the case of: (1) loosely versus tightly constrained layouts with equal levels of interaction between facilities, (2) loosely versus tightly packed layouts with variable levels of interactions between facilities, and (3) loosely versus tightly constrained layouts. Favorable results are reported.
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10

Malmborg, Charles J. "The concurrent block layout problem." International Journal of Production Research 51, no. 6 (2013): 1745–61. http://dx.doi.org/10.1080/00207543.2012.701770.

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