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DCC
2005
IEEE
16 years 6 months ago
Efficient Alphabet Partitioning Algorithms for Low-Complexity Entropy Coding
We analyze the technique for reducing the complexity of entropy coding consisting in the a priori grouping of the source alphabet symbols, and in dividing the coding process in tw...
Amir Said
EMO
2001
Springer
109views Optimization» more  EMO 2001»
15 years 11 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
EC
2007
167views ECommerce» more  EC 2007»
15 years 6 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
CEC
2009
IEEE
16 years 1 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
EMO
2005
Springer
110views Optimization» more  EMO 2005»
15 years 12 months ago
Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms
Abstract. While Single-Objective Evolutionary Algorithms (EAs) parallelization schemes are both well established and easy to implement, this is not the case for Multi-Objective Evo...
Felix Streichert, Holger Ulmer, Andreas Zell