scholarly journals Special Section: Evolutionary Design

1999 ◽  
Vol 13 (5) ◽  
pp. 325-325
Author(s):  
PETER BENTLEY
Keyword(s):  
Genetic Algorithm ◽  
Recent Work ◽  
Real World ◽  
Special Section ◽  
Computation Time ◽  
Evolutionary Design ◽  
Michigan State University ◽  
State University ◽  
Design Problems ◽  
Real World Applications

This issue of AIEDAM is the second in a series of three “mini” special issues on Evolutionary Design by computers. The papers continue the theme that began in Vol. 13, No. 3, 1999, of using Evolutionary Computation for design problems. The first paper by Eby, Averill, Punch and Goodman provides an excellent overview of the most recent work at Michigan State University on this subject. They describe their work on the optimization of flywheels by an injection island genetic algorithm, and show the importance of minimizing the computation time devoted to evaluation for such real-world applications.

scholarly journals Advanced SIMION Techniques: Boundary Matching and Genetic Optimization

2015 ◽  
Vol 21 (S4) ◽  
pp. 218-223 ◽  
Author(s):  
D. Dowsett
Keyword(s):  
Genetic Algorithm ◽  
Real World ◽  
Great Accuracy ◽  
Genetic Optimization ◽  
Real World Applications ◽  
Boundary Matching

AbstractTwo techniques for use with SIMION [1] are presented, boundary matching and genetic optimization. The first allows systems which were previously difficult or impossible to simulate in SIMION to be simulated with great accuracy. The second allows any system to be rapidly and robustly optimized using a parallelized genetic algorithm. Each method will be described along with examples of real world applications.

scholarly journals A Hybrid Genetic Algorithm for Pallet Loading in Real-World Applications

2020 ◽  
Vol 53 (2) ◽  
pp. 10006-10010
Author(s):  
Gabriele Ancora ◽  
Gianluca Palli ◽  
Claudio Melchiorri
Keyword(s):  
Genetic Algorithm ◽  
Real World ◽  
Hybrid Genetic Algorithm ◽  
Pallet Loading ◽  
Real World Applications

Intelligent Dynamic Production Scheduling in High-Mix Low-Volume Manufacturing Systems Under Uncertain Environment

2005 ◽  
Author(s):  
Sk Ahad Ali ◽  
Hamid Seifoddini ◽  
Hong Sun
Keyword(s):  
Genetic Algorithm ◽  
Real World ◽  
Production Scheduling ◽  
Manufacturing Systems ◽  
Lean Production ◽  
Simulation Environment ◽  
Real World Applications ◽  
Key Factor ◽  
Low Volume ◽  
Dynamic Production

Today’s globalization market drives industries toward increased expectations on lean production. These expectations have put industries under pressure to become more agile under highly dynamic market and manufacturing conditions in the high-mix low-volume manufacturing systems. Dynamic production scheduling is a key factor in fulfilling the customer’s expectation. It becomes more critical due to dynamics and uncertainty in the manufacturing systems. This research addresses the uncertainty consideration of machine and labor for dynamic production scheduling. Fuzzy based system is used to capture the labor and machine uncertainty and implemented in simulation environment. Based on the variability from the simulation environment, a genetic algorithm based optimization tool is developed for dynamic production scheduling. The proposed method is validated with real-world applications.

The Multi-Parent Biased Random-Key Genetic Algorithm with Implicit Path-Relinking and its real-world applications

2021 ◽  
Vol 289 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Carlos E. Andrade ◽  
Rodrigo F. Toso ◽  
José F. Gonçalves ◽  
Mauricio G.C. Resende
Keyword(s):  
Genetic Algorithm ◽  
Real World ◽  
Path Relinking ◽  
Real World Applications

Darwinian-Inspired Curricula

2019 ◽  
pp. 3-12
Author(s):  
Glenn Geher ◽  
David Sloan Wilson ◽  
Andrew C. Gallup ◽  
Hadassah Mativetsky ◽  
Richard H. Holler
Keyword(s):  
Higher Education ◽  
New York ◽  
Everyday Life ◽  
Real World ◽  
Opportunity To Learn ◽  
State University ◽  
Evolutionary Studies ◽  
Real World Applications ◽  
Basic Features ◽  
Binghamton University

Since the advent of the first interdisciplinary Evolutionary Studies (EvoS) programs at Binghamton University and the State University of New York at New Paltz, students across disciplines have been afforded the opportunity to learn foundational evolutionary principles. They have had the opportunity to explore how evolutionary ideas apply across the curriculum, as well as to issues of everyday life. This book is designed to be an exposé of the EvoS concept, including basic features of an EvoS curriculum, the goals of such a curriculum, and real-world applications of evolution-based ideas found in an EvoS curriculum. Contextualized in the complexities of modern higher education, this book includes chapters discussing the place of EvoS within the broader landscape of higher education as well as controversies in the field. This chapter introduces the coverage and organization of the book by providing a lay of the land.

Ultrastructural Studies of Bovine Respiratory Disease Complex

1975 ◽  
Vol 33 ◽  
pp. 428-429
Author(s):  
James C.S. Kim
Keyword(s):  
Michigan State University ◽  
State University ◽  
Diagnostic Laboratory ◽  
Ultrastructural Studies ◽  
Bovine Respiratory Diseases ◽  
Etiologic Agents ◽  
Diagnostic Difficulties ◽  
The Subject ◽  
Capillary Walls ◽  
Alveolar Capillary

Bovine respiratory diseases cause serious economic loses and present diagnostic difficulties due to the variety of etiologic agents, predisposing conditions, parasites, viruses, bacteria and mycoplasma, and may be multiple or complicated. Several agents which have been isolated from the abnormal lungs are still the subject of controversy and uncertainty. These include adenoviruses, rhinoviruses, syncytial viruses, herpesviruses, picornaviruses, mycoplasma, chlamydiae and Haemophilus somnus.Previously, we have studied four typical cases of bovine pneumonia obtained from the Michigan State University Veterinary Diagnostic Laboratory to elucidate this complex syndrome by electron microscopy. More recently, additional cases examined reveal electron opaque immune deposits which were demonstrable on the alveolar capillary walls, laminae of alveolar capillaries, subenthothelium and interstitium in four out of 10 cases. In other tissue collected, unlike other previous studies, bacterial organisms have been found in association with acute suppurative bronchopneumonia.

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