Tuning Genetic Algorithm Parameters for Placement of Integrated Circuit Cells
Author:
Affiliation:
1. Synopsys Armenia CJSC,Yerevan,Armenia
2. National Polytechnic University of Armenia,Yerevan,Armenia
3. Armenian State Polytechnic University,Yerevan,Armenia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10296971/10297023/10297063.pdf?arnumber=10297063
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1. Adaptive Sequential Constructive Crossover Operator in a Genetic Algorithm for Solving the Traveling Salesman Problem
2. An efficient parallel genetic algorithm solution for vehicle routing problem in cloud implementation of the intelligent transportation systems;abbasi;Journal of cloud computing,2020
3. VLSI Physical Design Automation;pan;Placement Office ACES,2017
4. Tuning genetic algorithm parameters using design of experiments
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