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» Hybrid Optimizations: Which Optimization Algorithm to Use
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105
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GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
15 years 8 months ago
Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms
While operating a crane for maximum productivity, the time of operation and the required energy are two important conflicting factors faced by a crane operator. In such a case, tr...
Kalyanmoy Deb, Naveen Kumar Gupta
161
Voted
TMM
2010
151views Management» more  TMM 2010»
14 years 9 months ago
SPANC: Optimizing Scheduling Delay for Peer-to-Peer Live Streaming
Abstract--In peer-to-peer (P2P) live streaming using unstructured mesh, packet scheduling is an important factor in overall playback delay. In this paper, we propose a scheduling a...
Tammy Kam-Hung Chan, Shueng-Han Gary Chan, Ali C. ...
117
Voted
AAAI
1998
15 years 4 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
124
Voted
PR
1998
86views more  PR 1998»
15 years 2 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...
330
Voted
EC
2012
289views ECommerce» more  EC 2012»
13 years 10 months ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha