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1 – 10 of 183Sihem 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.
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Keywords
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.
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Keywords
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.
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.
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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.
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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.
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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.
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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.
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Keywords
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.
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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).
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.
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Keywords
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.
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