scholarly journals Genetic algorithm of optimizing the qualification of programmer teams

2021 ◽  
pp. 31-38
Author(s):  
A. A. Prihozhy ◽  
A. M. Zhdanouski
Keyword(s):  
Genetic Algorithm ◽  
Fitness Function ◽  
Combinatorial Problem ◽  
Point Of View ◽  
Experimental Results ◽  
Optimization Process ◽  
High Quality

The partitioning a set of professional programmers into a set of teams when a programming project specifies requirements to the competency in various programming technologies and tools is a hard combinatorial problem. The paper proposes a genetic algorithm, which is capable of finding competitive and high-quality partitioning solutions in acceptable runtime. The algorithm introduces chromosomes in such a way as to assign each programmer to a team, define the team staff and easily reconstruct the teams during optimization process. A fitness function characterizes each chromosome with respect to the quality of the programmers partitioning. It accounts for the average qualification of teams and the qualification of team best representatives on each of the technologies. The function recognizes the teams that meet all constraints on the project and are workable from this point of view. It is also capable of recognizing the teams that do not meet the constraints and are unworkable. The algorithm defines the genetic operations of selection, crossing and mutation in such a way as to move programmers from unworkable to workable teams, to increase the number of workable teams, to ex-change programmers among workable teams, to increase the competency of every workable team, and thus to maximize the teams overall qualification. Experimental results obtained on a set of programmers graduated from Belarus universities show the capability of the genetic algorithm to find good partitioning solutions, maximize the teams’ competency and minimize the number of unemployed programmers.

scholarly journals Strategic Team AI Path Plans: Probabilistic Pathfinding

2008 ◽  
Vol 2008 ◽  
pp. 1-6 ◽  
Author(s):  
Tng C. H. John ◽  
Edmond C. Prakash ◽  
Narendra S. Chaudhari
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Computer Games ◽  
Fitness Function ◽  
New Method ◽  
High Quality ◽  
Plan Generation ◽  
Novel Method ◽  
Games And Simulations

This paper proposes a novel method to generate strategic team AI pathfinding plans for computer games and simulations using probabilistic pathfinding. This method is inspired by genetic algorithms (Russell and Norvig, 2002), in that, a fitness function is used to test the quality of the path plans. The method generates high-quality path plans by eliminating the low-quality ones. The path plans are generated by probabilistic pathfinding, and the elimination is done by a fitness test of the path plans. This path plan generation method has the ability to generate variation or different high-quality paths, which is desired for games to increase replay values. This work is an extension of our earlier work on team AI: probabilistic pathfinding (John et al., 2006). We explore ways to combine probabilistic pathfinding and genetic algorithm to create a new method to generate strategic team AI pathfinding plans.

scholarly journals The contribution of the Italian residents in neurology to the COVID-19 crisis: admirable generosity but neurological training remains their priority

2021 ◽  
Author(s):  
Cristina Tassorelli ◽  
Vincenzo Silani ◽  
Alessandro Padovani ◽  
Paolo Barone ◽  
Paolo Calabresi ◽  
...  
Keyword(s):  
Clinical Training ◽  
Real Life ◽  
Healthcare Management ◽  
Point Of View ◽  
Research Activity ◽  
High Quality ◽  
Research Activities ◽  
Italian Regions ◽  
Training And Research

Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has severely impacted the Italian healthcare system, underscoring a dramatic shortage of specialized doctors in many disciplines. The situation affected the activity of the residents in neurology, who were also offered the possibility of being formally hired before their training completion. Aims (1) To showcase examples of clinical and research activity of residents in neurology during the COVID-19 pandemic in Italy and (2) to illustrate the point of view of Italian residents in neurology about the possibility of being hired before the completion of their residency program. Results Real-life reports from several areas in Lombardia—one of the Italian regions more affected by COVID-19—show that residents in neurology gave an outstanding demonstration of generosity, collaboration, reliability, and adaptation to the changing environment, while continuing their clinical training and research activities. A very small minority of the residents participated in the dedicated selections for being hired before completion of their training program. The large majority of them prioritized their training over the option of earlier employment. Conclusions Italian residents in neurology generously contributed to the healthcare management of the COVID-19 pandemic in many ways, while remaining determined to pursue their training. Neurology is a rapidly evolving clinical field due to continuous diagnostic and therapeutic progress. Stakeholders need to listen to the strong message conveyed by our residents in neurology and endeavor to provide them with the most adequate training, to ensure high quality of care and excellence in research in the future.

Towards Academic Successor Selection Modelling with Genetic Algorithm in Multi-Criteria Problems

2018 ◽  
Vol 7 (4.33) ◽  
pp. 130
Author(s):  
Atiqa Zukreena Zakuan ◽  
Shuzlina Abdul-Rahman ◽  
Hamidah Jantan ◽  
. .
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Succession Planning ◽  
Fitness Function ◽  
Academic Staff ◽  
Fitness Value ◽  
Selection Decision ◽  
The University ◽  
Hierarchy Process

Succession planning is a subset of talent management that deals with multi-criteria and uncertainties which are quite complicated, ambiguous, fuzzy and troublesome. Besides that, the successor selection involves the process of searching the best candidate for a successor for an optimal selection decision. In an academic scenario, the quality of academic staff contributes to achieving goals and improving the performance of the university at the international level. The process of selecting appropriate academic staff requires good criteria in decision-making. The best candidate's position and criteria for the selection of academic staff is the responsibility of the Human Resource Management (HRM) to select the most suitable candidate for the required position. The various criteria that are involved in selecting academic staff includes research publication, teaching skills, personality, reputation and financial performance. Previously, most studies on multi-criteria decision-making adopt Fuzzy Analytical Hierarchy Process (FAHP). However, this method is more complex because it involved many steps and formula and may not produce the optimum results. Therefore, Genetic Algorithm (GA) is proposed in this research to address this problem in which a fitness function for the successor selection is based on the highest fitness value of each chromosome.    

John Gower, Mentor for Royalty: Richard II

PMLA ◽  
1954 ◽  
Vol 69 (4-Part1) ◽  
pp. 953-964
Author(s):  
George R. Coffman
Keyword(s):  
Middle Class ◽  
Present Article ◽  
Point Of View ◽  
John Gower ◽  
High Quality ◽  
Richard Ii ◽  
Unresolved Problem ◽  
Edward Iii ◽  
Standard Edition

This paragraph introduces a paper which illustrates a larger project: a study of aspects of Gower's works in fourteenth-century historical relationships. The objective is an interpretation of his writings as mirroring the attitude and point of view of a conservative middle-class Englishman for the years 1381-1400 and through them an interpretation of the England of his day. Though these writings show the long heritage of an economic, political, ethical, and religious past, our interest always centers in his immediate present. Non-literary contemporary records consequently provide the first essential materials for this interpretation. Macaulay's standard edition of his works, published half a century ago, based on all manuscripts then available, constitutes the printed source for this study. The high quality of Gower's preserved manuscripts, which give his own revisions, and the fact that these revisions show important changes in his attitudes toward individuals and organizations or institutions, make a re-examination of all of them now available an essential part of this interpretation and raise again the unresolved problem of his ethical integrity. Gardiner Stillwell's able article, “John Gower and the Last Years of Edward III,” provides a suggestive introduction for the interested student. The title of the present article is John Gower, Mentor for Royalty: Richard II.

On the Maturity of Software Maintenance and Other IT Services

2011 ◽  
pp. 51-74
Author(s):  
Frank Niessink
Keyword(s):  
Service Quality ◽  
Software Development ◽  
Software Maintenance ◽  
Two Dimensions ◽  
Point Of View ◽  
Technical Quality ◽  
It Services ◽  
High Quality ◽  
Functional Quality

In this chapter, we examine the differences between software maintenance and software development from a service point of view, and the consequences thereof for the maturity of software maintenance organizations. We argue that software maintenance can be seen as providing a service, whereas software development is primarily concerned with the development of products. Differences between products and services affect the way in which customers assess their respective quality. In particular, service quality is assessed in two dimensions: the technical quality — what the result of the service is — and the functional quality — how the service is delivered. Consequently, customers will judge the quality of software maintenance differently from that of software development. This in turn means that to deliver high quality results in software maintenance, both the functional quality and the technical quality dimension are important.

Nondestructive Quality Evaluation From a Horticulturist's Point of View

1978 ◽  
Vol 41 (1) ◽  
pp. 63-66 ◽  
Author(s):  
W. E. BALLINGER ◽  
W. F. McCLURE ◽  
E. P. MANESS ◽  
W. B. NESBITT ◽  
D. E. CARROLL ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Fruits And Vegetables ◽  
Quality Characteristics ◽  
Point Of View ◽  
High Quality ◽  
Nondestructive Techniques ◽  
Nondestructive Quality

Application of nondestructive sorting of fruits can be direct or indirect. Direct applications involve mainly objective means of establishing grades and quality of fruits and vegetables, as well as use of light-sorting and other nondestructive means for determining when a crop should be harvested or whether it should be marketed fresh or processed immediately. Indirect applications might be termed “research” usage of nondestructive sorting. Plant breeders would find nondestructive techniques useful for rapidly evaluating quality characteristics during the development of high quality cultivars. Physiologists could utilize it to rapidly determine the effects of treatments upon the quality of the commodity. Examples of development of techniques of light-sorting of blueberries and grapes for ripeness are discussed.

scholarly journals Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning

2019 ◽  
Vol 33 ◽  
pp. 6722-6729 ◽  
Author(s):  
Ziming Li ◽  
Julia Kiseleva ◽  
Maarten De Rijke
Keyword(s):  
Reinforcement Learning ◽  
State Of The Art ◽  
The State ◽  
Experimental Results ◽  
Imitation Learning ◽  
Local Optimum ◽  
Inverse Reinforcement Learning ◽  
High Quality ◽  
Overall Performance

The performance of adversarial dialogue generation models relies on the quality of the reward signal produced by the discriminator. The reward signal from a poor discriminator can be very sparse and unstable, which may lead the generator to fall into a local optimum or to produce nonsense replies. To alleviate the first problem, we first extend a recently proposed adversarial dialogue generation method to an adversarial imitation learning solution. Then, in the framework of adversarial inverse reinforcement learning, we propose a new reward model for dialogue generation that can provide a more accurate and precise reward signal for generator training. We evaluate the performance of the resulting model with automatic metrics and human evaluations in two annotation settings. Our experimental results demonstrate that our model can generate more high-quality responses and achieve higher overall performance than the state-of-the-art.

Quality Control and Testing of CIPP Liners

2014 ◽  
Vol 1044-1045 ◽  
pp. 1549-1552 ◽  
Author(s):  
Otakar Cigler ◽  
Karel Kubečka ◽  
Petr Waldstein
Keyword(s):  
Quality Control ◽  
Western Europe ◽  
High Efficiency ◽  
New Technologies ◽  
Environmentally Friendly ◽  
Point Of View ◽  
High Quality ◽  
Very High

The construction and rehabilitation of buildings and structures are intervention in the environment of people. Therefore, we are always looking for new technologies that are not only environmentally friendly but also acceptable from the point of view. Speed, flexibility, minimum limit for residents and transport, and also a high efficiency is the reason why more and more in recent years carried out the rehabilitation of sewerage using remediation sleeves. One of the systems of trenchless rehabilitation of sewerage systems used in Western Europe is a system company RELINEEUROPE Alphaliner Liner GmBH & co., the company's Technicians have developed one of the most important practices in the area of trenchless rehabilitation of sewerage systems. A large proportion of the development also has operators and owners of the pipeline. Technology offers very high quality of carried out restorations. This article describes the procedures for ensuring the quality of the used in Germany, which is a world leader in the development, production and use of this technology.

Based on Improved Genetic Algorithm for Task Scheduling of Heterogeneous Multi-Core Processor

2014 ◽  
Vol 1030-1032 ◽  
pp. 1671-1675
Author(s):  
Yue Qiu ◽  
Jing Feng Zang
Keyword(s):  
Genetic Algorithm ◽  
Task Scheduling ◽  
Execution Time ◽  
Scheduling Algorithm ◽  
Experimental Results ◽  
Initial Population ◽  
Improved Genetic Algorithm ◽  
High Quality ◽  
Multi Core Processor ◽  
Better Than

This paper puts forward an improved genetic scheduling algorithm in order to improve the execution efficiency of task scheduling of the heterogeneous multi-core processor system and give full play to its performance. The attribute values and the high value of tasks were introduced to structure the initial population, randomly selected a method with the 50% probability to sort for task of individuals of the population, thus to get high quality initial population and ensured the diversity of the population. The experimental results have shown that the performance of the improved algorithm was better than that of the traditional genetic algorithm and the HEFT algorithm. The execution time of tasks was reduced.

QoS Routing Optimization Based on Improved Genetic Algorithm

2014 ◽  
Vol 998-999 ◽  
pp. 1169-1173
Author(s):  
Chang Lin He ◽  
Yu Fen Li ◽  
Lei Zhang
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Computational Complexity ◽  
Fitness Function ◽  
Qos Routing ◽  
Experimental Results ◽  
Improved Genetic Algorithm ◽  
Coding Schemes ◽  
Routing Optimization

A improved genetic algorithm is proposed to QoS routing optimization. By improving coding schemes, fitness function designs, selection schemes, crossover schemes and variations, the proposed method can effectively reduce computational complexity and improve coding accuracy. Simulations are carried out to compare our algorithm with the traditional genetic algorithms. Experimental results show that our algorithm converges quickly and is reliable. Hence, our method vastly outperforms the traditional algorithms.

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