Antithetic Method‐Based Particle Swarm Optimization for a Queuing Network Problem with Fuzzy Data in Concrete Transportation Systems

Zeng, Ziqiang; Wu, Shiyong; Shen, Manbin

doi:10.1111/mice.12111

Cited by 67 publications

(19 citation statements)

References 80 publications

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“…They were proposed by John Holland in the 70 s as an automatic way to provide a mechanism for parallel and adaptive search (for a solution to a problem), based on the principle of survival of the fittest (where fitness is defined by the survival of an individual i.e., a solution). A considerable amount of academic research has been published on the use of GAs and/or GA-based hybridizations in several application areas, such as array design [9,12,13], infrastructure engineering [15,58,59], civil engineering [25,30,33,64], mechanical engineering [31], aerospace engineering [5], structural engineering [60,61], urban transportation planning [29,72], image processing [11], machine learning [18,37,57], robotics [56], network design [46,55,68,71] mathematics [70], to mention a few.…”

Section: Introductionmentioning

confidence: 99%

Automatic learning of image filters using Cartesian genetic programming

Paris

Pedrino

Nicoletti

2015

ICA

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This paper proposes a computational modeling for image filtering processes based on the Cartesian Genetic Programming (CGP) methodology, suitable for hardware devices. A computational system named ALIF-CGP (Automatic Learning of Image Filters Using Cartesian Genetic Programming) was designed as a simulator for automatically constructing a sequence of operators, mainly morphological and logical, which can filter a particular shape of image. ALIF-CGP is a convenient option for executing the non-trivial task, usually manually done by human experts, of selecting the sequence of nonlinear operators to be used in morphological filters. ALIF-CGP has already a built-in pool of morphological and logical operators, which can be used by default. The user, however, has the flexibility of choosing only those operators which are of interest or then, conveniently introduce new ones. The system expects as input a pair of images (input-target). The flexibility given by the CGP-based computational modeling used by ALIF-CGP as well as its efficiency and satisfactory results, obtained in various image processing case studies, recommend its use when developing a hardware implementation for the purposes of image filtering. A few case studies using ALIF-CGP are presented and comparatively analyzed in relation to previous results available in the literature.The manual process employed by humans, when dealing with digital image processing, is usually very slow due to the trial and error approach commonly used. The ad-hoc nature of the problem invariably turns the search for the best sequence of image operators into a complex task and its solution unsuitable for reuse.Many available research works published over the past years have focused their efforts trying to reduce the complexity involved in designing new image operators that would be able to perform various computational tasks [8,9,49,50,65]. Particularly, computational tools based on the mathematical morphology formalism are considered the most effective approach when applied in practical and theoretical problems from areas such as image analysis and image processing. Developments in these areas have great importance and impact in subjacent areas such as robotic vision, visual inspection, medicine, analysis of textures, among many others.

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Section: Introductionmentioning

confidence: 99%

Automatic learning of image filters using Cartesian genetic programming

Paris

Pedrino

Nicoletti

2015

ICA

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“…Many attempts and efforts have been made on the improvement of construction labor productivity at the project level. Advanced optimization techniques, such as artificial intelligence (Adeli and Karim, ; Elbeltagi and Hegazy, ), genetic algorithm (Tam and Tong, ; Kociecki and Adeli, ; Park et al., ), harmony search (Siddique and Adeli, ,b), mathematical programming (Gomar et al., ; Liu et al., ), neural networks (Adeli and Wu, ; Adeli, ; Senouci and Adeli, ; Ghosh‐Dastidar and Adeli, ; Siddique and Adeli, ), particle swarm optimization (Zeng et al., ; Shabbir and Omenzetter, ), robust optimization (Shahabi and Boyles, ), multiobjective optimization (Cha and Buyukozturk, ), and other techniques (Abuyounes and Adeli, ; Adeli and Chyou, ; Karim and Adeli, ,b; Kim and Adeli, ; Kociecki and Adeli, , ; Chen et al., ; Szeto et al., ; Qarib and Adeli, ; Rafiei and Adeli, ; Sun and Betti, ) are frequently used. El‐Rayes and Moselhi () presented an automated and practical optimization model based on dynamic programming and a scheduling algorithm to optimize resource utilization for repetitive construction projects such as highways, high‐rise buildings, and housing projects.…”

Section: Introductionmentioning

confidence: 99%

Multi‐Objective Mathematical Programming Approach to Construction Laborer Assignment with Equity Consideration

Wang

2016

Computer aided Civil Eng

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Construction laborer assignment is the assignment of laborers in a team to the tasks for a daily work in a construction project. This study proposes a mathematical programming approach to examine the optimal construction laborer assignment problem with the objectives of productivity and occupational health and safety while considering equity between laborers. Several linearization techniques are presented to transform the mathematical programming model into a mixed‐integer linear program, which can be solved by off‐the‐shelf mixed‐integer linear solvers. The proposed model is applied to extensive numerical experiments and the results show that the mathematical programming approach outperforms a conventional heuristic by over 10% in terms of job completion time. This implies considerable overhead, equipment, and manpower savings for the construction industry.

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“…Based on the actual background and characteristics of the CEAA problem, this paper transforms the multi-objective optimization problem into a single-objective optimization problem by determining a primary objective and treating the secondary objectives as corresponding constraints with appropriate threshold values according to the research of Zeng et al [41]. As Jiangsu Province is still developing, continued economic development remains the primary objective of the authority.…”

Section: Model Transformationmentioning

confidence: 99%

New Carbon Emissions Allowance Allocation Method Based on Equilibrium Strategy for Carbon Emission Mitigation in the Coal-Fired Power Industry

et al. 2018

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Abstract:The carbon emissions from coal-fired power have become an increasing concern to governments around the world. In this paper, a carbon emissions allowances allocation based on the equilibrium strategy is proposed to mitigate coal-fired power generation carbon emissions, in which the authority is the lead decision maker and the coal-fired power plants are the follower decision makers, and an interactive solution approach is designed to achieve equilibrium. A real-world case study is then given to demonstrate the practicality and efficiency of this methodology. Sensitivity analyses under different constraint violation risk levels are also conducted to give authorities some insights into equilibrium strategies for different stakeholders and to identify the necessary tradeoffs between economic development and carbon emissions mitigation. It was found that the proposed method was able to mitigate coal-fired power generation carbon emissions significantly and encourage coal-fired power plants to improve their emissions performance.

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Antithetic Method‐Based Particle Swarm Optimization for a Queuing Network Problem with Fuzzy Data in Concrete Transportation Systems

Abstract: The aim of this article is to develop an antithetic method-based particle swarm optimization to solve

Cited by 67 publications

References 80 publications

Automatic learning of image filters using Cartesian genetic programming

Automatic learning of image filters using Cartesian genetic programming

Multi‐Objective Mathematical Programming Approach to Construction Laborer Assignment with Equity Consideration

New Carbon Emissions Allowance Allocation Method Based on Equilibrium Strategy for Carbon Emission Mitigation in the Coal-Fired Power Industry

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