EvoArch: An evolutionary algorithm for architectural layout design
Computer-Aided Design
An unorthodox introduction to Memetic Algorithms
ACM SIGEVOlution
A probabilistic memetic framework
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Novel Memetic Algorithm for Protein Structure Prediction
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Memetic algorithm with extended neighborhood search for capacitated arc routing problems
IEEE Transactions on Evolutionary Computation
Towards a memetic feature selection paradigm
IEEE Computational Intelligence Magazine
Natural and remote sensing image segmentation using memetic computing
IEEE Computational Intelligence Magazine
A particle swarm optimization based memetic algorithm for dynamic optimization problems
Natural Computing: an international journal
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Power profiling-guided floorplanner for thermal optimization in 3D multiprocessor architectures
PATMOS'11 Proceedings of the 21st international conference on Integrated circuit and system design: power and timing modeling, optimization, and simulation
Wirelength minimization in partitioning and floorplanning using evolutionary algorithms
VLSI Design - Special issue on CAD for Gigascale SoC Design and Verification Solutions
Evolution-enhanced multiscale overcomplete dictionaries learning for image denoising
Engineering Applications of Artificial Intelligence
3D thermal-aware floorplanner using a MOEA approximation
Integration, the VLSI Journal
Two-stage ensemble memetic algorithm: Function optimization and digital IIR filter design
Information Sciences: an International Journal
VLSI floorplanning based on the integration of adaptive search models
Journal of Computer and Systems Sciences International
Computers and Industrial Engineering
Region based memetic algorithm for real-parameter optimisation
Information Sciences: an International Journal
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Floorplanning is an important problem in very large scale integrated-circuit (VLSI) design automation as it determines the performance, size, yield, and reliability of VLSI chips. From the computational point of view, VLSI floorplanning is an NP-hard problem. In this paper, a memetic algorithm (MA) for a nonslicing and hard-module VLSI floorplanning problem is presented. This MA is a hybrid genetic algorithm that uses an effective genetic search method to explore the search space and an efficient local search method to exploit information in the search region. The exploration and exploitation are balanced by a novel bias search strategy. The MA has been implemented and tested on popular benchmark problems. Experimental results show that the MA can quickly produce optimal or nearly optimal solutions for all the tested benchmark problems