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ICAI
2003
15 years 2 months ago
Exploiting the Marginal Profits of Constraints with Evolutionary Multi-Objective Optimization Techniques
Many real-world search and optimization problems naturally involve constraint handling. Recently, quite a few heuristic methods were proposed to solve the nonlinear constrained op...
Zhenyu Yan, Wei Zhi, Lishan Kang
112
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LION
2010
Springer
230views Optimization» more  LION 2010»
15 years 5 months ago
A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D
MOEA/D is a multi-objective metaheuristic which has shown a remarkable performance when solving hard optimization problems. In this paper, we propose a thread-based parallel versio...
Antonio J. Nebro, Juan J. Durillo
106
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ASAP
2004
IEEE
171views Hardware» more  ASAP 2004»
15 years 4 months ago
CHARMED: A Multi-Objective Co-Synthesis Framework for Multi-Mode Embedded Systems
In this paper, we present a modular co-synthesis framework called CHARMED that solves the problem of hardware-software co-synthesis of periodic, multi-mode, distributed, embedded ...
Vida Kianzad, Shuvra S. Bhattacharyya
114
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ICCAD
2003
IEEE
210views Hardware» more  ICCAD 2003»
15 years 10 months ago
Generalized Network Flow Techniques for Dynamic Voltage Scaling in Hard Real-Time Systems
Energy consumption is an important performance parameter for portable and wireless embedded systems. However, energy consumption must be carefully balanced with real-time responsi...
Vishnu Swaminathan, Krishnendu Chakrabarty
DAC
2004
ACM
16 years 2 months ago
Profile-based optimal intra-task voltage scheduling for hard real-time applications
This paper presents a set of comprehensive techniques for the intratask voltage scheduling problem to reduce energy consumption in hard real-time tasks of embedded systems. Based ...
Jaewon Seo, Taewhan Kim, Ki-Seok Chung