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CEC
2009
IEEE
14 years 4 days ago
Memetic algorithm with Local search chaining for large scale continuous optimization problems
Abstract— Memetic algorithms arise as very effective algorithms to obtain reliable and high accurate solutions for complex continuous optimization problems. Nowadays, high dimens...
Daniel Molina, Manuel Lozano, Francisco Herrera
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 1 days ago
Using performance fronts for parameter setting of stochastic metaheuristics
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
Johann Dréo
ACMIDC
2009
13 years 11 months ago
Drama prototyping for the design of urban interactive systems for children
In this paper, we present Wi-swing, a case study approach in designing a networked playground for children located in a public garden. The approach adopted in the case study is ba...
Andrea Alessandrini, Antonio Rizzo, Elisa Rubegni
MM
2004
ACM
149views Multimedia» more  MM 2004»
14 years 26 days ago
Designing experiential environments for management of personal multimedia
With the increasing ubiquity of sensors and computational resources, it is becoming easier and increasingly common for people to electronically record, photographs, text, audio, a...
Rahul Singh, Rachel Knickmeyer, Punit Gupta, Rames...
ANTSW
2008
Springer
13 years 9 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang