TY  - BOOK
AU  - Karvinkoppa,Mathew
AU  - Hotta,Tapano Kumar
TI  - Hybrid genetic optimization for IC chips thermal control: with MATLAB applications 
T2  - Advances in metaheuristics
SN  - 9781003188506
AV  - TK7874 
U1  - 621.3815 23
PY  - 2022///
CY  - Boca Raton
PB  - Chapman & Hall/CRC
KW  - Integrated circuits
KW  - Thermal properties
KW  - Mathematical optimization
KW  - COMPUTERS
KW  - Mathematical & Statistical Software
KW  - bisacsh
KW  - Programming
KW  - General
KW  - COMPUTERS / Mathematical & Statistical Software
KW  - COMPUTERS / Programming / General
N2  - The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of electronic components have led to the monumental rise of volumetric heat generation in electronic components. Hybrid Genetic Optimization for IC Chips Thermal Control: With MATLAB Applications focuses on the detailed optimization strategy carried out to enhance the performance (temperature control) of the IC chips oriented at different positions on a switch-mode power supply (SMPS) board and cooled using air under various heat transfer modes. Seven asymmetric protruding IC chips mounted at different positions on an SMPS board are considered in the present study that is supplied with non-uniform heat fluxes. Key Features: Provides guidance on performance enhancement and reliability of IC chips Provides a detailed hybrid optimization strategy for the optimal arrangement of IC chips on a board The MATLAB program for the hybrid optimization strategy along with its stability analysis is carried out in a detailed manner Enables thermal design engineers to identify the positioning of IC chips on the board to increase their reliability and working cycle
UR  - https://www.taylorfrancis.com/books/e/9781003188506
UR  - https://www.taylorfrancis.com/books/9781003188506
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -