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» Hybrid Optimizations: Which Optimization Algorithm to Use
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132
Voted
SODA
2003
ACM
119views Algorithms» more  SODA 2003»
15 years 5 months ago
Simultaneous optimization for concave costs: single sink aggregation or single source buy-at-bulk
We consider the problem of finding efficient trees to send information from k sources to a single sink in a network where information can be aggregated at intermediate nodes in t...
Ashish Goel, Deborah Estrin
VLSID
2002
IEEE
116views VLSI» more  VLSID 2002»
16 years 4 months ago
Prioritized Prime Implicant Patterns Puzzle for Novel Logic Synthesis and Optimization
Compare CMOS Logic with Pass-Transistor Logic, a question was raised in our mind: "Does any rule exist that contains all good?" This paper reveals novel logic synthesis ...
Kuo-Hsing Cheng, Shun-Wen Cheng
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 10 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
113
Voted
CCGRID
2009
IEEE
15 years 10 months ago
Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy
— To optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (GAs) which can usually give better solut...
Xiaofeng Wang, Rajkumar Buyya, Jinshu Su
138
Voted
CEC
2008
IEEE
15 years 10 months ago
A particle swarm optimizer with lifespan for global optimization on multimodal functions
—The particle swarm optimizer (PSO) is a popular computing technique of swarm intelligence, known for its fast convergence speed and easy implementation. All the particles in the...
Jun Zhang, Ying Lin