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1 – 10 of 183
Article
Publication date: 27 September 2019

Sihem Cherif, Raoudha Ben Djemaa and Ikram Amous

This paper aims to propose an approach for the self-adaptation of the Web composition called SAMIWA. The SAMIWA framework helps users during the search, invocation and composition…

Abstract

Purpose

This paper aims to propose an approach for the self-adaptation of the Web composition called SAMIWA. The SAMIWA framework helps users during the search, invocation and composition of the appropriate Web service.

Design/methodology/approach

The authors’ approach allows expressing requirements by taking into account potential users’ context in addition to the functional one.

Findings

In this paper, the authors introduce a new context-aware approach that provides a dynamic adaptation of service compositions.

Originality/value

The author has implemented a Web application that enables selection and composition of the most appropriate composite service.

Details

International Journal of Pervasive Computing and Communications, vol. 15 no. 3/4
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 28 October 2013

Jianjun Zhu

The evaluation scores of each criterion and the integration are given by decision makers, respectively. Owing to the heavy time-pressure in real time decision-making, decision…

Abstract

Purpose

The evaluation scores of each criterion and the integration are given by decision makers, respectively. Owing to the heavy time-pressure in real time decision-making, decision makers may have different judgment abilities, which reflects the instability and inconsistent weight of criteria and scores. It will lead to the unreliable results. To rank alternatives more rational, the consistency of decision makers is considered. The paper aims to discuss these issues.

Design/methodology/approach

First, the weight estimation model of the criteria is developed to find the dynamic change and the inconsistency of decision makers, which is based on the objects of weight stability and the consistency measured by the distance between scores of each criterion and the integration. Following that, scores of alternatives given by each decision maker are modified according to the requirement of stability and consistency of the decision-making. In addition, the weight of decision makers is deduced based on the self-consistency and group's similarity that measured by grey close relationship. In the last, the score of alternatives can be modified according to the weight of the decision maker and criteria, and then, alternatives can be ranked via the final score.

Findings

The self-adaptation evaluation method is suggested in real time decision-making environment.

Originality/value

Its application step and feasibility is showed via a real decision-making problem.

Details

Grey Systems: Theory and Application, vol. 3 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 19 October 2015

Matthieu Mifsud, Anne-Sophie Cases and Gilles N'Goala

– The purpose of this paper is to propose a comprehensive framework for service appropriation, specifying the different facets of the phenomenon.

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Abstract

Purpose

The purpose of this paper is to propose a comprehensive framework for service appropriation, specifying the different facets of the phenomenon.

Design/methodology/approach

A literature review summarizes views of the appropriation concept from various disciplines (human and social sciences, information systems, marketing), reinforced by an exploratory study in the health sector.

Findings

Six underlying dimensions of service appropriation emerge: service knowledge; service consciousness; self-adaptation to service; service control; service creation; and psychological ownership of the service.

Research limitations/implications

This paper is mainly conceptual and requires empirical testing in other domains to confirm the applicability of the proposed framework.

Practical implications

This study offers insights into how service providers and managers should design services and integrate customers in the service coproduction process.

Originality/value

The complementary view of appropriation in the context of services defines it as a cognitive, measurable state. The outcome of this approach is an original, integrative framework applied to services, not just spaces or immersive experiences.

Details

Journal of Service Management, vol. 26 no. 5
Type: Research Article
ISSN: 1757-5818

Keywords

Article
Publication date: 17 March 2012

Makhlouf Derdour, Philippe Roose, Marc Dalmau and Nacira Ghoualmi‐Zine

The purpose of this paper is to present a supervised adaptation platform for applications‐based components.

Abstract

Purpose

The purpose of this paper is to present a supervised adaptation platform for applications‐based components.

Design/methodology/approach

The platform is designed using a model based top‐down approach. The authors use UML diagrams and particularly scenarios and activity diagrams.

Findings

The CSC (component, service and connector) platform is based on a component/service model that allows adaptation of component‐based applications and uses service‐oriented architecture for providing adaptation services to be embedded in adaptation connectors.

Originality/value

The paper proposes CSC, a self‐adaptation platform based on MMSA, to describe software architectures for multimedia‐oriented application and providing adaptation capabilities. The platform is based on services and offer architecture, with three layers particularly adapted to adaptation of multimedia flow (types, formats, properties) and which allows solving the heterogeneity problems of components.

Details

Journal of Systems and Information Technology, vol. 14 no. 1
Type: Research Article
ISSN: 1328-7265

Keywords

Article
Publication date: 28 March 2008

Xiao‐Bing Hu, Ezequiel Di Paolo and Shu‐Fan Wu

The purpose of this paper is to present a comprehensive self‐adaptive genetic algorithm (GA) based on fuzzy mechanism, aiming to improve both the optimizing capability and the…

Abstract

Purpose

The purpose of this paper is to present a comprehensive self‐adaptive genetic algorithm (GA) based on fuzzy mechanism, aiming to improve both the optimizing capability and the convergence speed.

Design/methodology/approach

Many key factors that affect the performance of GAs are identified and analyzed, and their influences on the optimizing capability and the convergence speed are further elaborated, which prove to be very difficult to be described with explicit mathematical formulas. Therefore, a set of fuzzy rules are used to model these complicated relationships, in order to effectively guide the online self‐adaptive adjustments, such as changing the crossover and mutation probabilities, and thus to improve the optimizing capability and convergence speed.

Findings

Simulation results illustrates that, compared with a normal GA and another self‐adaptive GA based on explicit mathematical modeling of the key factors, the new GA is more advanced in terms of the optimizing capability and the convergence speed.

Originality/value

This paper develops a fuzzy‐rule‐based approach to describe the relationships between multiple GA parameters and online states, and the approach is useful in the design of a comprehensive self‐adaptive GA.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 1 no. 1
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 1 May 2002

Kwong‐Sak Leung, Jian‐Yong Sun and Zong‐Ben Xu

In this paper, a set of safe adaptive genetic algorithms (sGAs) is proposed based on the Splicing/Decomposable encoding scheme and the efficient speed‐up strategies developed by…

Abstract

In this paper, a set of safe adaptive genetic algorithms (sGAs) is proposed based on the Splicing/Decomposable encoding scheme and the efficient speed‐up strategies developed by Xu et al.. The proposed algorithms implement the self‐adaptation of the problem representation, selection and recombination operators at the levels of population, individual and component which commendably balance the conflicts between “reliability” and “efficiency”, as well as “exploitation” and “exploration” existed in the evolutionary algorithms. It is shown that the algorithms converge to the optimum solution in probability one. The proposed sGAs are experimentally compared with the classical genetic algorithm (CGA), non‐uniform genetic algorithm (nGA) proposed by Michalewicz, forking genetic algorithm (FGA) proposed by Tsutsui et al. and the classical evolution programming (CEP). The experiments indicate that the new algorithms perform much more efficiently than CGA and FGA do, comparable with the real‐coded GAs — nGA and CEP. All the algorithms are further evaluated through an application to a difficult real‐life application problem: the inverse problem of fractal encoding related to fractal image compression technique. The results for the sGA is better than those of CGA and FGA, and has the same, sometimes better performance compared to those of nGA and CEP.

Details

Engineering Computations, vol. 19 no. 3
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 28 February 2023

Haemi Kim, Jinyoung Im and Yeon Ho Shin

This study aims to investigate the significant role of restaurant employees’ relational resources to promote thriving at work. The mediating effect of heedful relating was focused…

Abstract

Purpose

This study aims to investigate the significant role of restaurant employees’ relational resources to promote thriving at work. The mediating effect of heedful relating was focused on as an underlying mechanism. This study also investigated the moderating effect of employees’ perceived COVID-19 impact on the hypothesized relationships.

Design/methodology/approach

The research model was tested with frontline restaurant employees working in full-service restaurants using the convenience sampling method. A self-administered questionnaire was used for an online survey. A total of 361 responses were analyzed with structural equation modeling, bootstrapping analysis and multi-group analysis.

Findings

The results showed the significant relationships not only between relational resources and thriving at work but also between relational resources and heedful relating. Heedful relating was significantly associated with thriving at work. The significant mediating effect of heedful relating was supported. The moderating effect of the perceived COVID-19 impact on the association between leader–member exchange and thriving was significant.

Research limitations/implications

Employees’ relational resources at work leads to thriving at work both directly and indirectly through the impact of heedful relating. The findings contributed to the literature on human resource management and hospitality. Moreover, the study presented implications for the restaurant industry to promote employees’ self-adaptation and development in a post-pandemic era.

Originality/value

With the study findings, the importance of relational aspects to foster restaurant employees’ thriving at work could be highlighted which reflects the unique nature of the restaurant industry.

Details

International Journal of Contemporary Hospitality Management, vol. 35 no. 10
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 7 June 2011

Yamina Mohamed Ben Ali

Particle swarm optimization (PSO) has been applied with success to many numerical and combinatorial optimization problems in recent years. However, a great deal of work remains to…

Abstract

Purpose

Particle swarm optimization (PSO) has been applied with success to many numerical and combinatorial optimization problems in recent years. However, a great deal of work remains to be done to improve the particle swarm performance. The purpose of this paper is to present a new adaptive PSO approach to overcome convergence drawbacks. Thus, the updating of the particle position rule and the introduction of new acceleration parameter augment the performance of the proposed model developed in this perspective.

Design/methodology/approach

In the studied picture, each particle defined in a multidimensional search space is represented by a vector of three adaptive parameters representing, respectively, the adaptive cognitive factor, the adaptive social factor, and the bi‐acceleration factor. Therefore, to updating its position rule, the authors add a gaussian noise to each updated velocity in order to increase the diversity in the population swarm.

Findings

The simulation experiments uses the CEC, 2005 functions benchmark. The achieved results show that the proposed model improves the existing performance of other algorithms compared to the same benchmark.

Originality/value

The proposed algorithm improves the performance of the PSO based on the self‐adaptation strategy. Thus, it can actually resolve hard functions which introduces noisy and shifted functions.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 4 no. 2
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 10 April 2007

Leandro dos Santos Coelho and Piergiorgio Alotto

This paper aims to show on a widely used benchmark problem that chaotic sequences can improve the search ability of evolution strategies (ES).

397

Abstract

Purpose

This paper aims to show on a widely used benchmark problem that chaotic sequences can improve the search ability of evolution strategies (ES).

Design/methodology/approach

The Lozi map is used to generate new individuals in the framework of ES algorithms. A quasi‐Newton (QN) method is also used within the iterative loop to improve the solution's quality locally.

Findings

It is shown that the combined use of chaotic sequences and QN methods can provide high‐quality solutions with small standard deviation on the selected benchmark problem.

Research limitations/implications

Although the benchmark is considered to be representative of typical electromagnetic problems, different test cases may give less satisfactory results.

Practical implications

The proposed approach appears to be an efficient general purpose optimizer for electromagnetic design problems.

Originality/value

This paper introduces the use of chaotic sequences in the area of electromagnetic design optimization.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 26 no. 2
Type: Research Article
ISSN: 0332-1649

Keywords

Article
Publication date: 10 March 2022

Changlong Ye, Yunfei Zang, Suyang Yu and Chunying Jiang

The purpose of this paper is to demonstrate a multipurpose inspection robot that can both walk on the ground and climb on poles. The structure design, size optimization…

Abstract

Purpose

The purpose of this paper is to demonstrate a multipurpose inspection robot that can both walk on the ground and climb on poles. The structure design, size optimization, kinematics analysis, experiment and arithmetic of the robot are discussed in the paper.

Design/methodology/approach

The robot consists of three adjustable modules and a two-degree-of-freedom parallel mechanism in tandem, and the wheel-finger mechanism of each module can realize wheel-finger opening and closing for fast movement and obstacle crossing. This paper uses geometric analysis and simulation analysis to derive size optimization, and vector coordinate method to derive kinematics. Finally, the experiment is carried out by simulating the working environment of the robot.

Findings

The robot can realize ground walking and ground turning through the robot entity prototype experiment on the built working environment and efficiently realize 0°–90° pole climbing by the assemble design, optimization and machining. In addition, the robot can also smoothly complete the state transition process from 0° ground to 90° pole climbing. Furthermore, the robot shows good environmental self-adaptation and can complete daily inspection work.

Originality/value

The robot can pitch and yaw at a large angle and has six-legged characteristics. It is a multipurpose inspection robot that can walk on the ground and climb on poles. And through structure design, size optimization, kinematics analysis and simulation, the existing robots’ common shortcomings such as poor barrier-crossing ability and poor environmental adaptability are solved.

Details

Assembly Automation, vol. 42 no. 2
Type: Research Article
ISSN: 0144-5154

Keywords

1 – 10 of 183