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The paper aims to present a new methodology for hybrid genetic algorithms (GA) in the solution of electromagnetic optimization problems.

This methodology can be seen as a local search operator which uses local quadratic approximations for each objective and constraint function in the problem. In the local search phase, these approximations define an associated local search problem that is efficiently solved using a formulation based on linear matrix inequalities.

The paper illustrates the proposed methodology comparing the performance of the hybrid GA against the basic GA in two analytical problems and in the well‐known TEAM benchmark Problem 22. For the analytical problems, 30 independent runs for each algorithm were considered whereas for Problem 22, ten independent runs for each algorithm were taken.

For the analytical problems, the hybrid GA enhanced both the convergence speed, in terms of the number of function evaluations, and the accuracy of the final result. For Problem 22, the hybrid GA was able to reach a better solution, with a better value of the standard deviation with less CPU time.

The paper could be useful both for device designers and researchers involved optimization in computational electromagnetics.

The hybrid GA proposed enhanced the convergence speed, in terms of the number of function evaluations, representing a faster and robust algorithm for practical optimization problems.

The purpose of this paper is to apply an Ant colony optimization approach for the solution of the topological design of interior permanent magnet (IPM) machines.

The IPM motor design domain is discretized into a suitable equivalent graph representation and an Ant System (AS) algorithm is employed to achieve an efficient distribution of materials into this graph.

The single-objective problems associated with the maximization of the torque and with the maximization of the shape smoothness of the IPM are investigated. The rotor of the device is discretized into a 9×18 grid in both cases, and three different materials are considered: air, iron and permanent magnet.

The graph representation used enables the solution of topological design problems with an arbitrary number of materials, which is relevant for 2 and 3D problems.

From the numerical experiments, the AS algorithm was able to achieve reasonable shapes and torque values for both design problems. The results show the relevance of the mechanism for multi-domain topology optimization of electromagnetic devices.

The purpose of this paper is to present a new multi‐objective clonal selection algorithm (MCSA) for the solution of electromagnetic optimization problems.

The method performs the somatic hypermutation step using different probability distributions, balancing the local search in the algorithm. Furthermore, it includes a receptor editing operator that implicitly realizes a dynamic search over the landscape.

In order to illustrate the efficiency of MCSA, its performance is compared with the nondominated sorting genetic algorithm II (NSGA‐II) in some analytical problems and in the well‐known TEAM benchmark Problem 22. Three performance evaluation techniques are used in the comparison, and the effect of each operator of the MCSA in its accomplishment is estimated.

In the analytical problems, the MCSA enhanced both the extension and uniformity in its solutions, providing better Pareto‐optimal sets than the NSGA‐II. In the Problem 22, the MCSA also outperformed the NSGA‐II. The MCSA was not dominated by the NSGA‐II in the three variables case and clearly presented a better convergence speed in the eight variables problem.

This paper could be useful for researchers who deal with multi‐objective optimization problems involving high‐computational cost.

The new operators incorporated in the MCSA improved both the extension, uniformity and the convergence speed of the solutions, in terms of the number of function evaluations, representing a robust tool for real‐world optimization problems.

The purpose of this study is to validate a novel model of resting hand splint manufactured by additive manufacturing (AM) and compare it with the traditional model manufactured by high temperature thermoplastic in terms of cost, weight, volume and thermal comfort.

A novel resting hand splint model was created from the topology optimization (TO) and analyzed, by finite-element analysis, manufacturing cost and weight, with a traditional resting hand splint. A pilot clinical study was carried out to verify heat diffusion during the use of the two splints.

The results showed that compared with the traditional model, the novel model reduced the volume of material used by 35.48%, the weight of the orthosis by 17.56% and the maximum surface deformation by 171.17% when subjected to actuation forces. It was also verified that, when manufactured with Nylon by AM, the new model is 1.5 times cheaper than the traditional model made of Polypropylene. The result of the thermographic analysis showed greater temperature variation in the use of the traditional splint (+4.6°C) compared to the temperature variation observed in the nylon splint (2.1°C).

These results have as clinical relevance the demonstration of the feasibility of manufacturing functional orthoses that are more comfortable, cheaper and lighter than traditional ones.

This study describes the use of TO to manufacture a novel resting hand splint, which was compared with the commonly used traditional splint in terms of mechanical resistance, weight, cost and thermal comfort.

Breast cancer is one of the most common malignant tumors in women, which badly have an effect on women's physical and psychological health and even danger to life. Nowadays, mammography is considered as a fundamental criterion for medical practitioners to recognize breast cancer. Though, due to the intricate formation of mammogram images, it is reasonably hard for practitioners to spot breast cancer features.

Breast cancer is one of the most common malignant tumors in women, which badly have an effect on women's physical and psychological health and even danger to life. Nowadays, mammography is considered as a fundamental criterion for medical practitioners to recognize breast cancer. Though, due to the intricate formation of mammogram images, it is reasonably hard for practitioners to spot breast cancer features.

The performance analysis was done for both segmentation and classification. From the analysis, the accuracy of the proposed IAP-CSA-based fuzzy was 41.9% improved than the fuzzy classifier, 2.80% improved than PSO, WOA, and CSA, and 2.32% improved than GWO-based fuzzy classifiers. Additionally, the accuracy of the developed IAP-CSA-fuzzy was 9.54% better than NN, 35.8% better than SVM, and 41.9% better than the existing fuzzy classifier. Hence, it is concluded that the implemented breast cancer detection model was efficient in determining the normal, benign and malignant images.

This paper adopts the latest Improved Awareness Probability-based Crow Search Algorithm (IAP-CSA)-based Region growing and fuzzy classifier for enhancing the breast cancer detection of mammogram images, and this is the first work that utilizes this method.

This chapter discusses a paradigm shift in the internationalization of higher education (IHE) in relation to the impacts of the Covid-19 pandemic, redirecting the focus from a “competition” to a “cooperation” orientation in this process. The disruptions caused by the pandemic in physical academic mobility, often equated with IHE, enabled the switch to virtual mobility, including more academics and cooperation in the process of IHE. In order to illustrate and ground the discussion proposed here, this chapter describes a study carried out in a Brazilian public institution, using a mixed methods approach, combining bibliographic and document research techniques with the analysis of notes from staff meetings and class observations. The analysis of notes taken during classes and meetings held through virtual exchanges (VE) and/or a Collaborative Online International Learning (COIL) project, carried out during the pandemic in the university analyzed, contrasted with the bibliographic/document analyses suggests a paradigm shift from academic mobility (for a few students only), with a “competition” orientation with partners mainly from the Global North, to a more inclusive and cooperative process, with different languages and more universities around the world. The authors conclude that virtual and alternative approaches such as VE/COIL can foster the development of more inclusive Internationalization at Home (IaH) processes, with a “cooperation” orientation.

Building on Guimarães et al. (2019) study and using the modeling of structural equations, the objective of this paper was to elaborate constructs whose variables would enable the characterization and distinction of individuals among these different groups of consumers and to provide insights into their transition between them.

The constructs were validated by the average variance extracted adaptive (AVEADP) index. The transition between consumer groups is explained and encouraged by advances in their conceptual and perceptual knowledge. Thus, regular consumers should be addressed with messages aimed primarily for the social aspect of consumption; enthusiasts, by reinforcing simple to moderate aspects commonly used as product purchase criteria and experts, attracted by the emphasis on complex criteria related to specialty coffee's conceptual and perceptual knowledge, highlighting their influence on the beverage's sensory profile.

Those results enabled a better understanding of these consumers and can guide the marketing strategies of different actors in this market.

Important attempts to understand and characterize Brazilian specialty coffee consumers were conducted by Guimarães et al. (2019) and Ramírez-Correa et al. (2020). However, further studies are needed to differentiate different specialty coffee consumer groups and enhance the market applicability of those studies results. In addition, despite its importance, there is a paucity of public domain studies about the national consumption of specialty coffees, being the results of this work important for the wide dissemination of such information.

This study aims to test the moderating impact of competition intensity on the relationships between the new product development (NPD) success factors and company success in NPD.

A mailed questionnaire collected information from 311 manufacturing companies to test the proposed model with moderated multivariate regression analysis.

The results corroborate the impact of competition intensity on the relationships between the success factors individually and company success performing NPD.

Despite the relatively broad scope of the proposed model, other success factors and/or moderating and mediating variables may also be important. As such, these variables should be identified and tested in future studies.

In practice, competition is viewed as an unavoidable factor beyond the control of managers within a company. Undeniably, competition is a great stimulant for business innovation. Thus, it is important for managers to understand the need, to focus attention managing the success factors most important to increase the likelihood of long-term success for NPD projects, particularly in markets under intense competition.

While the study is grounded on well-established literature, its major constructs originated from relatively isolated areas of knowledge. The major contribution is empirically testing an integrated model for variables considered important for success in NPD and the moderating effect of intense competition.

The Annual Review of Comparative and International Education (ARCIE) represents a forum and an opportunity for scholars worldwide to discuss and examine trends and directions in comparative/international education, highlighting relevant developments in these fields, related to educational contexts, climates, and reforms in these contexts. Changes and reforms within these contexts and areas can have significant impacts on various education stakeholders, agents, and societies. Given the need to identify and prepare for these changes, the objective of this chapter is to discuss recent trends and directions in the field of Comparative and International Education (CIE). The method employed to identify these trends was a meta-analysis of the 23 chapters published in the 2020 edition of ARCIE. The 23 chapters composed the corpus of texts analyzed in this study, with the support of an online platform for corpora processing. Results of the analysis were contrasted with relevant literature in the field and suggest that (among the three main missions of universities) teaching and research received more attention than outreach/services, considering the corpus analyzed. In addition, teachers and students received more attention than administrative staff. Therefore, we conclude that more attention is necessary toward these aspects (outreach and administrative staff) in the pursuit of social justice and UN’s sustainable development goals (SDGs). Finally, the prevalence of topics related to language and sustainability suggests a need for more representativeness, in terms of regions and languages studied in the field of CIE.

The purpose of this paper is to develop strategies for financial working capital management and to present previous literature on financial working capital management and its measures.

Qualitative comparative analysis is used to formulate the strategies, and the variables in the analysis have been selected from previous literature. Empirical data consists of 91 companies listed in the Helsinki Stock Exchange during 2008-2012.

The results indicate 11 possible strategies for financial working capital management which all aim at increasing financial working capital. There are suitable strategies for all companies independent from their profitability, capital intensity or working capital requirements.

The presented strategies have been created theoretically and have not been tested in companies, which could be done in future research.

This study has three contributions. First, previous literature on financial working capital management is reviewed. Second, a novel measure for financial working capital is developed. Third, strategies for financial working capital management are presented.