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Managing Evolutionary Method Engineering by Method Rationale

Matti Rossi, Balasubramaniam Ramesh, Kalle Lyytinen, Juha-Pekka Tolvanen
2004 Journal of the AIS  
This paper explores how to integrate formal meta-models with an informal method rationale to support evolutionary (continuous) method development.  ...  /Managing Evolutionary Method Engineering  ...  A further discussion of how design rationale relates to evolutionary method engineering is however outside the scope of this study. 18 Example of Method Rationale In this section we describe a meta-model-based  ... 
doi:10.17705/1jais.00055 fatcat:wgcq4u47ujbjhiuqo4jvhus33i

A Survey on Evolutionary Computation: Methods and Their Applications in Engineering

Morteza Husainy Yar, Vahid Rahmati, Hamid Reza Dalili Oskouei
2016 Modern Applied Science  
This paper briefly studies different evolutionary computation techniques used in some applications specifically image processing, cloud computing and grid computing.  ...  These methods are generally categorized as evolutionary algorithms and swarm intelligence.  ...  Evolutionary computation in this case employs some procedures based on evolutionary principles and techniques as the soul of EC.  ... 
doi:10.5539/mas.v10n11p131 fatcat:yqdccwmnxvgyvo465ck2l4rjnq

Evolutionary Particle Swarm Optimization: A Metaoptimization Method with GA for Estimating Optimal PSO Models [chapter]

Hong Zhang, Masumi Ishikawa
2008 Lecture Notes in Electrical Engineering  
In order to systematically determine the values of parameters in PSO, this paper proposes a meta-optimization method called Evolutionary Particle Swarm Optimization (EPSO).  ...  Conclusion In this paper, we have proposed a meta-optimization method, Evolutionary Particle Swarm Optimization, EPSO, that efficiently determines the values of parameters in PSO for finding a global optimal  ... 
doi:10.1007/978-0-387-74935-8_5 fatcat:3vcenmuozjf7vhkxnv73azgeey

Evolutionary Metaheuristic Methods Applied to Minimize the THD in Inverters: A Systematic Review

Oscar Sánchez-Vargas, Susana Estefany De León-Aldaco, Jesús Aguayo-Alquicira, Adolfo Rafael López-Núñez
2021 European Journal of Electrical Engineering  
The aim is to show which are the characteristics of the most used case studies for the application of evolutionary metaheuristic methods.  ...  This highlights which features of the case studies are the most used and analysed to explore the advantages of using evolutionary metaheuristic methods.  ...  evolutionary methods.  ... 
doi:10.18280/ejee.230308 fatcat:z7ramzioxrf4hfxlx3rlwml4e4

Application of Evolutionary Programming Method to Solve a Hydro Thermal System Problem

S. Prabakaran
2018 International Journal for Research in Applied Science and Engineering Technology  
This paper proposes a Evolutionary Programming (EP) and Tabu Search (TS) methods to solve hydro thermal system consisting of 3 thermal and 1 hydro unit.  ...  The results obtained by TS method and EP algorithm heve been compared. The convergence and the reliability characteristics of the proposed algorithms are graphically analyzed.  ...  Several techniques have been proposed and implemented which address this difficulty, the most widely studied being the "Meta-evolutionary" technique in which the variance of the mutation distribution is  ... 
doi:10.22214/ijraset.2018.6309 fatcat:6pqsn7i5zfd2zopjp7dh7qfsv4

Reflective Analysis and Design for Adapting Object Run-Time Behavior [chapter]

Walter Cazzola, Ahmed Ghoneim, Gunter Saake
2002 Lecture Notes in Computer Science  
The object model, system scenario and many other design information are reified by special meta-objects, named evolutionary meta-objects.  ...  Evolutionary meta-objects deal with two types of run-time evolution.  ...  Case Study: Banking System Now, we show the benefits and drawbacks of applying our approach to dynamically adapt a system to the environment on a case study.  ... 
doi:10.1007/3-540-46102-7_29 fatcat:qgpel3e2knegpdg3vg3mk2hxz4

Requirement emergence computation of networked software

Keqing He, Peng Liang, Rong Peng, Bing Li, Jing Liu
2007 Frontiers of Computer Science in China  
A case study in the application of networked e-Business with evolutionary growth based on State design pattern is presented in the end.  ...  A hierarchical & cooperative unified requirement modeling framework URF (Unified Requirement Framework) and related RGPS (Role, Goal, Process and Service) meta-models are proposed.  ...  A case study on the evolutionary growth and emergence computation of requirement specification for networked software is presented in the end.  ... 
doi:10.1007/s11704-007-0031-2 fatcat:ii53vx7tqrhwlclydfzmz7gx4u

Software Evolution through Dynamic Adaptation of Its OO Design [chapter]

Walter Cazzola, Ahmed Ghoneim, Gunter Saake
2004 Lecture Notes in Computer Science  
The meta-objects use the system design information to lead its evolution. Moreover, we show an application of our architecture on a case study.  ...  The evolution takes place in two steps: first a meta-object, called evolutionary meta-object, plans a possible evolution against the detected event then another meta-object, called consistency checker  ...  Of course, the UTCS, due to its complexity, cannot be considered as a whole case study.  ... 
doi:10.1007/978-3-540-25930-5_5 fatcat:6wa7bcija5gspciptoxif4gtse

A modeling method to develop goal-oriented adaptive agents in modeling and simulation for smart grids

Hyo-Cheol Lee, Hee-Soo Kim, Seok-Won Lee
2014 Proceedings of the 3rd International Workshop on Software Engineering Challenges for the Smart Grid - SE4SG 2014  
-Through GoABMS framework, modeler can design agents for Smart Grid -GOA model makes a Smart Grid model more adaptive and evolutionary -Case study of profit sharing policies shows the feasibility of proposed  ...  .• 3 Agent-structural meta-model of GOA model Meta Figure 4 .  ... 
doi:10.1145/2593845.2593846 dblp:conf/icse/LeeKL14 fatcat:ttypqtz2lzfbvndbvhcnhn5soi

Data mining for decision making in engineering optimal design

Amir Mosavi
2014 Journal of Artificial Intelligence and Data Mining  
To evaluate the effectiveness of the proposed method a study case in 3D wing optimal design is given.  ...  Along with the study case, it is discussed that how effective the proposed methodology could be in further practical engineering design problems.  ...  In the study case for modeling the 3D wing surface, four curve profiles have been with 42 points utilized.  ... 
doi:10.22044/jadm.2014.125 doaj:c0799a3074b344ada320632a4c92e92e fatcat:pvit3gd6rfeyfmd3i5vftuwpp4

Archetypes based Meta-modeling towards Evolutionary, Dependable and Interoperable Healthcare Information Systems

Gunnar Piho, Jaak Tepandi, Douglas Thompson, Triinu Tammer, Marko Parman, Viljam Puusep
2014 Procedia Computer Science  
evolutionary criteria. : theory and practice of meta-modelling with application in healthcare; case studies of meta-modelling in healthcare applications; archetypes and archetype patterns; laboratory  ...  In analyzing and modeling domains we use archetypes and archetype patterns as meta-models.  ...  Layer Content Changes Tool Meta-meta model (M3) Classes, properties and methods, ... programming language Very rarely, design time e.g.  ... 
doi:10.1016/j.procs.2014.08.069 fatcat:fz353bjyzvcbldc5abbca77bzq

Concepts for Incremental Method Evolution: Empirical Exploration and Validation in Requirements Management [chapter]

Inge van de Weerd, Sjaak Brinkkemper, Johan Versendaal
2007 Lecture Notes in Computer Science  
The results show that the formalized method increment types cover all increments that were found in the exploratory case study, and that the rootcause map is a useful technique to model the root causes  ...  We first identify and formalize general method increments that are found in an exploratory case study.  ...  Meta-meta model of PDD The structure of the meta-meta-model and the earlier case studies [27] to method evolution revealed that 18 elementary increment types can be distinguished: • insertion of a concept  ... 
doi:10.1007/978-3-540-72988-4_33 fatcat:7sdqafxt7rbgngrlolkk63pj4a

Radial Basis Surrogate Model Integrated To Evolutionary Algorithm For Solving Computation Intensive Black-Box Problems

Abdulbaset Saad, Adel Younis, Zuomin Dong
2017 Zenodo  
The proposed methodology is called Radial Basis Meta-Model Algorithm Assisted Differential Evolutionary (RBF-DE), which is a global optimization algorithm based on the meta-modeling techniques.  ...  A meta-modeling assisted DE is proposed to solve computationally expensive optimization problems.  ...  META-MODELING Approximation models or meta-models (surrogate models) play a major role in the meta-models based global design optimization.  ... 
doi:10.5281/zenodo.1128937 fatcat:mjiqytdhgnhvvoz6y267uxtmlu

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey

Mohammad-H. Tayarani-N., Xin Yao, Hongming Xu
2015 IEEE Transactions on Evolutionary Computation  
The review covers a wide range of research, including the application of meta-heuristic algorithms in engine calibration, optimizing engine control systems, engine fault diagnosis, and optimizing different  ...  parts of engines and modeling.  ...  In this case, both the engine model and real engine could be used simultaneously.  ... 
doi:10.1109/tevc.2014.2355174 fatcat:le2et3abrjbcbf5jxzgs2gff54

Recent Research in Science Teaching and Learning

Deborah Allen
2014 CBE - Life Sciences Education  
the important conclusion that the differences in effectiveness between the two methods were not instructor dependent.  ...  Two types of analyses, calculation of fail-safe numbers and funnel plots, supported a lack of publication bias (tendency to not publish studies with low effect sizes).  ...  This article describes a study designed to advance these issues by comparing lecture-and case-based methods within the same offering of a 72-student, upper-level, required course in mechanical engineering  ... 
doi:10.1187/cbe.14-09-0147 pmid:25452480 pmcid:PMC4255344 fatcat:s2qwgcynjzgzdkfvrxgng2t3ce
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