MO-PSE: Adaptive multi-objective particle swarm optimization based design space exploration in architectural synthesis for application specific processor design
- 1 January 2014
- journal article
- Published by Elsevier BV in Advances in Engineering Software
- Vol. 67, 111-124
- https://doi.org/10.1016/j.advengsoft.2013.09.001
Abstract
No abstract availableThis publication has 20 references indexed in Scilit:
- A multi structure genetic algorithm for integrated design space exploration of scheduling and allocation in high level synthesis for DSP kernelsSwarm and Evolutionary Computation, 2012
- Rapid design space exploration by hybrid fuzzy search approach for optimal architecture determination of multi objective computing systemsMicroelectronics Reliability, 2011
- A high level synthesis design flow with a novel approach for efficient design space exploration in case of multi-parametric optimization objectiveMicroelectronics Reliability, 2010
- A novel framework of Optimizing modular computing architecture for multi objective VLSI designsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Discrete Particle Swarm Optimization for Multi-objective Design Space ExplorationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Efficient design space exploration for application specific systems-on-a-chipJournal of Systems Architecture, 2007
- A genetic algorithm for the design space exploration of datapaths during high-level synthesisIEEE Transactions on Evolutionary Computation, 2006
- A Family of Compact Genetic Algorithms for Intrinsic Evolvable HardwareIEEE Transactions on Evolutionary Computation, 2004
- Simultaneous optimisation of dynamic power, area and delay in behavioural synthesisIEE Proceedings - Computers and Digital Techniques, 2000
- A preference ordering among various Pareto optimal alternativesStructural and Multidisciplinary Optimization, 1999