| Type of Material: | Thesis |
| Title: | Analysis and optimization of machining process using evolutionary algorithms |
| Researcher: | Ansalam Raj, T G |
| Guide: | Namboothiri, V N Narayanan |
| Department: | Department of Mechanical Engineering |
| Publisher: | Cochin University of Science and Technology |
| Place: | Cochin |
| Year: | 19/08/2011 |
| Language: | English |
| Subject: | Genetic algorithm | Swarm intelligent optimization | Simulated annealing | Response surface methodology | Mechanical engineering |
| Dissertation/Thesis Note: | PhD |
| Fulltext: | Shodhganga |
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| 001 | 258445 | |
| 003 | IN-AhILN | |
| 005 | 2013-12-04 12:42:59 | |
| 008 | __ | 120424t2011||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_258445 |
| 040 | __ | |aCUST_682022|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aAnsalam Raj, T G|eResearcher |
| 110 | __ | |aDepartment of Mechanical Engineering|bCochin University of Science and Technology|dCochin |
| 245 | __ | |aAnalysis and optimization of machining process using evolutionary algorithms |
| 260 | __ | |aCochin|bCochin University of Science and Technology|c19/08/2011 |
| 502 | __ | |bPhD |
| 518 | __ | |oDate of Notification|d2011-08-19 |
| 520 | __ | |aTo ensure quality of machined products at minimum machining costs and maximum machining effectiveness, it is very important to select optimum parameters when metal cutting machine tools are employed. Traditionally, the experience of the operator plays a |
| 650 | __ | |aMechanical engineering|2UGC |
| 653 | __ | |aGenetic algorithm |
| 653 | __ | |aSwarm intelligent optimization |
| 653 | __ | |aSimulated annealing |
| 653 | __ | |aResponse surface methodology |
| 700 | __ | |aNamboothiri, V N Narayanan|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/3740|yShodhganga |
| 905 | __ | |anotification |
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