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"item_title" : "Teaching Learning Based Optimization Algorithm",
"item_author" : [" R. Venkata Rao "],
"item_description" : "Describing a new optimization algorithm, the Teaching-Learning-Based Optimization (TLBO), in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives. As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners' results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology. The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.
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Teaching Learning Based Optimization Algorithm : And Its Engineering Applications
Overview
Describing a new optimization algorithm, the "Teaching-Learning-Based Optimization (TLBO)," in a clear and lucid style, this book maximizes reader insights into how the TLBO algorithm can be used to solve continuous and discrete optimization problems involving single or multiple objectives.
As the algorithm operates on the principle of teaching and learning, where teachers influence the quality of learners' results, the elitist version of TLBO algorithm (ETLBO) is described along with applications of the TLBO algorithm in the fields of electrical engineering, mechanical design, thermal engineering, manufacturing engineering, civil engineering, structural engineering, computer engineering, electronics engineering, physics and biotechnology.The book offers a valuable resource for scientists, engineers and practitioners involved in the development and usage of advanced optimization algorithms.
This item is Non-Returnable
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Details
- ISBN-13: 9783319227313
- ISBN-10: 3319227319
- Publisher: Springer
- Publish Date: November 2015
- Dimensions: 9.21 x 6.14 x 0.69 inches
- Shipping Weight: 1.32 pounds
- Page Count: 284
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