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99
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GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
15 years 1 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham
92
Voted
ASPDAC
2004
ACM
117views Hardware» more  ASPDAC 2004»
15 years 6 months ago
Performance-driven global placement via adaptive network characterization
Delay minimization continues to be an important objective in the design of high-performance computing system. In this paper, we present an effective methodology to guide the delay...
Mongkol Ekpanyapong, Sung Kyu Lim
79
Voted
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 1 months ago
Theoretical analysis of diversity mechanisms for global exploration
Maintaining diversity is important for the performance of evolutionary algorithms. Diversity mechanisms can enhance global exploration of the search space and enable crossover to ...
Tobias Friedrich, Pietro Simone Oliveto, Dirk Sudh...
SPEECH
2010
154views more  SPEECH 2010»
14 years 7 months ago
Long story short - Global unsupervised models for keyphrase based meeting summarization
act 11 We analyze and compare two different methods for unsupervised extractive spontaneous speech summarization in the meeting 12 domain. Based on utterance comparison, we introdu...
Korbinian Riedhammer, Benoît Favre, Dilek Ha...
89
Voted
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
15 years 6 months ago
Measuring mobility and the performance of global search algorithms
The global search properties of heuristic search algorithms are not well understood. In this paper, we introduce a new metric, mobility, that quantifies the dispersion of local o...
Monte Lunacek, L. Darrell Whitley, James N. Knight