A symbiosis between population based incremental learning and LP-relaxation based parallel genetic algorithm for solving integer linear programming models

[1]  Mahmood Fazlali,et al.  High speed merged-datapath design for run-time reconfigurable systems , 2009, 2009 International Conference on Field-Programmable Technology.

[2]  Mohamed Elhoseny,et al.  Extended Genetic Algorithm for solving open-shop scheduling problem , 2019, Soft Comput..

[3]  Andrew D. Brown,et al.  Optimisation in behavioural synthesis using hierarchical expansion: module ripping , 2001 .

[4]  David E. Goldberg,et al.  The compact genetic algorithm , 1999, IEEE Trans. Evol. Comput..

[5]  Giovanni De Micheli,et al.  Synthesis and Optimization of Digital Circuits , 1994 .

[6]  Alex K. Jones,et al.  Behavioral synthesis of data-dominated circuits for minimal energy implementation , 2005, 18th International Conference on VLSI Design held jointly with 4th International Conference on Embedded Systems Design.

[7]  Charalambos Fragakis,et al.  Genetic Programming Applied to Mixed Integer Programming , 2004, EuroGP.

[8]  Magdy A. Bayoumi,et al.  Multiple voltage-based scheduling methodology for low power in the high level synthesis , 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

[9]  Kusum Deep,et al.  A real coded genetic algorithm for solving integer and mixed integer optimization problems , 2009, Appl. Math. Comput..

[10]  Tarun Biswas,et al.  A Novel Genetic Algorithm Based Scheduling for Multi-core Systems , 2018, Smart Innovations in Communication and Computational Sciences.

[11]  Pedro M. Castro,et al.  Discrete and continuous-time formulations for dealing with break periods: Preemptive and non-preemptive scheduling , 2019, Eur. J. Oper. Res..

[12]  Farah Naz Taher,et al.  Design and Optimization of Reliable Hardware Accelerators: Leveraging the Advantages of High-Level Synthesis , 2018, 2018 IEEE 24th International Symposium on On-Line Testing And Robust System Design (IOLTS).

[13]  J. Sampson.  Adaptation in Natural and Artificial Systems (John H. Holland) , 1976 .

[14]  Mahmood Fazlali,et al.  Data path Configuration Time Reduction for Run-time Reconfigurable Systems , 2009, ERSA.

[15]  Mahmood Fazlali,et al.  Parallel Branch and Bound Algorithm for Solving Integer Linear Programming Models Derived from Behavioral Synthesis , 2021 .

[16]  Shumeet Baluja,et al.  A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .

[17]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[18]  Fayez F. Boctor,et al.  An efficient genetic algorithm to solve the resource-constrained project scheduling problem with transfer times: The single mode case , 2018, Eur. J. Oper. Res..

[19]  David Abramson,et al.  A simulated annealing code for general integer linear programs , 1999, Ann. Oper. Res..

[20]  Zi Wang,et al.  High-Level Synthesis Design Space Exploration: Past, Present, and Future , 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[21]  Mahmood Fazlali,et al.  A New Datapath Merging Method for Reconfigurable System , 2009, ARC.

[22]  Mahmood Fazlali,et al.  Efficient datapath merging for the overhead reduction of run-time reconfigurable systems , 2012, The Journal of Supercomputing.

[23]  Mahmood Fazlali,et al.  Scalable Parallel Genetic Algorithm For Solving Large Integer Linear Programming Models Derived From Behavioral Synthesis , 2020, 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP).

[24]  Hamdy A. Taha,et al.  Integer Programming: Theory, Applications, and Computations , 1975 .

[25]  Leonardo da Cunha Brito,et al.  Constrained Mixed Integer Programming Solver Based on the Compact Genetic Algorithm , 2018 .

[26]  Seyed Hamid Zahiri,et al.  A novel method for high-level synthesis of datapaths in digital filters using a moth-flame optimization algorithm , 2020, Evol. Intell..

[27]  Chao Li,et al.  High-level synthesis for FPGAs: code optimization strategies for real-time image processing , 2017, Journal of Real-Time Image Processing.

[28]  Rich Caruana,et al.  Removing the Genetics from the Standard Genetic Algorithm , 1995, ICML.

[29]  Wayne H. Wolf,et al.  Unification of scheduling, binding, and retiming to reduce power consumption under timings and resources constraints , 2005, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[30]  Chang Wook Ahn,et al.  Elitism-based compact genetic algorithms , 2003, IEEE Trans. Evol. Comput..