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IEEE Southeast Conference (IEEE SoutheastCon)

作者： Naseer, Adnan Aquib Ashraf, Rizwan A. Dechev, Damian DeMara, Ronald F. Univ Cent Florida Dept Elect Engn & Comp Sci Orlando FL 32826 USA

ISBN: (纸本)9781467373005

Approximate computing involves selectively reducing the number of transistors in a circuit to improve energy savings. Energy savings may be achieved at the cost of reduced accuracy for signal processing applications whereby constituent adder and multiplier circuits need not generate a precise output. Since the performance versus energy savings landscape is complex, we investigate the acceleration of the design of approximate adders using parallelized genetic algorithms (GAs). The fitness evaluation of each approximate adder is explored by the GA in a non-sequential fashion to automatically generate novel approximate designs within specified performance thresholds. This paper advances methods of parallelizing GAs and implements a new parallel GA approach for approximate multi-bit adder design. A speedup of approximately 1.6-fold is achieved using a quad-core Intel processor and results indicate that the proposed GA is able to find adders which consume 63.8% less energy than accurate adders.

关键词： parallelism genetic algorithms parallel genetic algorithm inexact arithmetic units approximate computing adder variable accuracy low power adders error distance power consumption process variation delay power reduction

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Iterative parallel genetic algorithms based on biased initial population

Iterative parallel genetic algorithms based on biased initia...

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17th Workshop on Circuits and Systems

作者： Nakamura, M Yamashiro, N Gong, YY Matsumura, T Onaga, K Univ Ryukyus Fac Informat Engn Okinawa 9030213 Japan Marine Syst Assoc Urasoe 9012560 Japan Digital Soc Res Lab Naha 9000011 Japan

This paper proposes an iterative parallel genetic algorithm with biased initial population to solve large-scale combinatorial optimization problems. The proposed scheme employs a master-slave collaboration in which the master node manages searched space of slave nodes and assigns seeds to generate initial population to. slaves for their restarting of evolution process. Our approach allows us as widely as possible to search by all the slave nodes in the beginning period of the searching and then focused searching by multiple slaves on a certain spaces that seems to include good quality solutions. Computer experiment shows the effectiveness of our proposed scheme.

关键词： genetic algorithm parallel genetic algorithm biased initial population master-slave collaboration

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VLSI topology synthesis using the method of parallel genetic algorithms

VLSI topology synthesis using the method of parallel genetic...

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3rd International Conference of Young Scientists (MEMSTECH 2007)

作者： Kernytskyy, Andriy Kryvyy, Rostyslav Tkatchenko, Serhiy Lviv Polytech Natl Univ CAD CAM Dept 12 S Bandery Str UA-79013 Lvov Ukraine

A parallel implementation of a genetic algorithms used to design the VLSI circuits topology is described.

ISBN: (纸本)9789665536147

A parallel implementation of a genetic algorithms used to design the VLSI circuits topology is described.

关键词： vLSI synthesis layout parallel genetic algorithm

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parallel genetic algorithms for the solution of inverse heat conduction problems

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INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS 2007年第2期84卷 241-249页

作者： Guo, Q. Shen, D. Guo, Y. Lai, C.-H. Wuhan Univ Technol Wuhan 430070 Peoples R China Xiaogan Univ Xiaogan Peoples R China Univ Greenwich Old Royal Naval Coll Sch Comp & Math Sci London SE10 9LS England

A parallel genetic algorithm ( PGA) is proposed for the solution of two-dimensional inverse heat conduction problems involving unknown thermophysical material properties. Experimental results show that the proposed PG... 详细信息

关键词： heat conduction inverse problem parallel genetic algorithm

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Two-level parallel CPU/GPU-based genetic algorithm for association rule mining

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INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING 2020年第2-3期22卷 335-345页

作者： Hamdad, Leila Ournani, Zakaria Benatchba, Karima Bendjoudi, Ahcene Ecole Natl Super Informat ESI LCSI BP 68M Oued Smar El Harrach Algeria Ecole Natl Super Informat ESI BP 68M Oued Smar El Harrach Algeria Ecole Natl Super Informat ESI LMCS BP 68M Oued Smar El Harrach Algeria CERIST Res Ctr DTISI Algiers Algeria

genetic algorithms (GA) are widely used in the literature to extract interesting association rules. However, they are time consuming mainly due to the growing size of databases. To speed up this process, we propose two parallel GAs (ARMGPU and ARM-CPU/GPU). In ARM-GPU, parallelism is used to compute the fitness which is the most time consuming task;while, ARM-CPU/GPU proposes a two-level-based parallel GA. In the first level, the different cores of the CPU execute a GAARM on a sub-population. The second level of parallelism is used to compute the fitness, in parallel, on GPU. To validate the proposed two parallel GAs, several tests were conducted to solve well-known large ARM instances. Obtained results show that our parallel algorithms outperform state-of-the-art exact algorithms (APRIORI and FP-GROWTH) and approximate algorithms (SEGPU and ME-GPU) in terms of execution time.

关键词： association rules parallel genetic algorithm GPU CPU

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Adaptive algorithm of parallel genetic optimization based on orthogonal wavelet of space diversity

Adaptive algorithm of parallel genetic optimization based on...

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2015 International Conference on Electric, Electronic and Control Engineering (ICEECE 2015)

作者： Xiaogen Pei Shaohua Zheng Communication Command Department of the Armored Force Institute School of Information Science and Engineering Shandong University

Diversity technology can effectively resist channel multipath fading,and balanced technology can effectively inhibit the inter-symbol interference,so the diversity technology and balanced technology combined can effectively improve the quality of ***,this paper uses parallel genetic algorithm to optimize the space diversity orthogonal wavelet adaptive algorithm,taking the space points on each branch equalizer weight vector as the son species of parallel genetic algorithms for selection,crossover,and mutation;between each species to each other and regularly send the best individual fitness;eliminate the worst individual fitness;and take diversity branch output signal and input orthogonal wavelet adaptive device *** computer simulation results show that the fast algorithm convergence speed and small steadystate errors can achieve the global optimal solution.

关键词： parallel genetic algorithm Space diversity Wavelet transform Adaptive

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Implementation of Multi-core parallel Computation for Real-time Turning of PID Parameters Based on genetic algorithm

Implementation of Multi-core Parallel Computation for Real-t...

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2012年先进制造技术与系统国际会议

作者： Shuangshi Zhang~(1,2,a),Xuben Wang~(1,b) WeiHua Wang~(2,c) 1 Sate Key Laboratory of Oil and Gas Geology and Exploitation In Chengdu University of Technology,China 2 the Chinese People's Armed Police Force Academy,China

The aim of the work described in this paper is to investigate the implementation of Multi-core parallel genetic algorithm(McPGA) for real-time turning of PID parameters based on it using *** performance of our scheme is discussed in comparison with that of the Sequential genetic algorithm(SGA) program running on the same *** experimental results clearly show that McPGA is much better than SGA on convergence,premature and optimized *** can be used for PID parameter real-time turning in Industry Process Control Computer(IPC).

关键词： Multi-core parallel Computation Real-time tuning PID parallel genetic algorithm

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A Selective Migration parallel Multi-objective genetic algorithm

A Selective Migration Parallel Multi-objective Genetic Algor...

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2010 Chinese Control and Decision Conference

作者： Tengfei Qiu,Gang Ju School of Energy and Environment,Southeast University,Nanjing 210096,China

A new multi-objective evolutionary algorithm,called selective migration parallel genetic algorithm(SMPGA) was presented in this paper,which designs a new migration strategy and qualification based on the adaptive *** SMPGA,a searching population and a elite population evolve at the same time;unique migration strategy and qualification are used to keep and improve the convergence and diversity of the Pareto optimal ***,according to their different purposes,the two populations adopt different crossover *** results show that SMPGA can find accurate and uniform Pareto optimal solutions on different multi-objective problems.

关键词： Multi-objective optimization parallel genetic algorithm Migration strategy and qualification Adaptive grid

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A Selective Migration parallel Multi-objective genetic algorithm

A Selective Migration Parallel Multi-objective Genetic Algor...

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The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

作者： Tengfei Qiu Gang Ju School of Energy and Environment Southeast University Nanjing 210096 China

ISBN: (纸本)9781424451814;9781424451821

A new multi-objective evolutionary algorithm, called selective migration parallel genetic algorithm (SMPGA) was presented in this paper, which designs a new migration strategy and qualification based on the adaptive grid. In SMPGA, a searching population and a elite population evolve at the same time;unique migration strategy and qualification are used to keep and improve the convergence and diversity of the Pareto optimal set. Besides, according to their different purposes, the two populations adopt different crossover strength. Simulation results show that SMPGA can find accurate and uniform Pareto optimal solutions on different multi-objective problems.

关键词： Multi-objective optimization parallel genetic algorithm Migration strategy and qualification Adaptive grid

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Heat Pump-Assisted Extractive Pressure-Swing Distillation with Integrated Feed Preconcentration/Solvent Recovery for Isopropanol-Benzene-Water Separation

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SEPARATION AND PURIFICATION TECHNOLOGY 2025年 358卷

作者： Zhu, Jiaxing Zhang, Bo Zhang, Hao Hao, Lin Southwest Univ Sch Chem & Chem Engn Chongqing Peoples R China Hebei Univ Technol Sch Chem Engn & Technol Tianjin Key Lab Chem Proc Safety Hebei Prov Key Lab Green Chem Technol & High Effic Tianjin 300130 Peoples R China Tianjin Univ Sch Chem Engn & Technol Tianjin 300072 Peoples R China

Recently, heat-integrated pressure-swing distillation (HIPSD) has been explored for recovering isopropanol and benzene from wastewater, but the process remains highly energy-intensive. Given the dilute nature of the feed, intensified extractive distillation with an integrated preconcentration column (IED) is more suitable. However, previous researches have often overlooked the critical role of pressure and lacked rigorous optimization of operating pressure in such systems. In this article, we developed novel extractive pressure-swing distillation with integrated feed preconcentration/solvent recovery column (IEPSD) by introducing a pressure-swing configuration and incorporate energy-saving technologies to achieve more sustainable and cost-effective separation processes. First, thermodynamic analysis is conducted to explore the effect of pressure on extractive pressure-swing distillation. Then, a parallel genetic algorithm is applied for rigorous optimization, followed by the application of heat integration and heat pump. The IEPSD is superior to IED in terms of total annual cost (TAC) and CO2 emission. With the inclusion of energy-saving technologies, IEDHI and IEPSDHI further reduced TAC by 5.29% and 7.40%, and cut CO2 emissions by 25.18% and 24.03%, respectively, compared to their base processes. The use of a heat pump is particularly advantageous for IEPSD due to its lower boiling temperatures under vacuum pressure, leading to the development of IEPSDHIHP, which offered an additional 22.36% CO2 reduction and marginally lower TAC than IEPSDHI. Ultimately, IEPSDHIHP proves to be the best option, offering a 51.15% TAC reduction and 68.42% CO2 emissions reduction compared to HIPSD. In summary, the developed IED and IEPSD processes, especially with heat integration and heat pump technologies, offer significant economic and environmental advantages over conventional HIPSD.

关键词： Intensified extractive distillation Extractive pressure-swing distillation Integration of preconcentration and recovery column parallel genetic algorithm Heat integration/heat pump

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