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» Timetable Scheduling Using Particle Swarm Optimization
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GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 5 days ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
Nikhil Padhye, Subodh Kalia
CEC
2007
IEEE
14 years 1 months ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli
NCA
2007
IEEE
13 years 7 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
GECCO
2007
Springer
236views Optimization» more  GECCO 2007»
14 years 1 months ago
A discrete differential evolution algorithm for the permutation flowshop scheduling problem
In this paper, a novel discrete differential evolution (DDE) algorithm is presented to solve the permutation flowhop scheduling problem with the makespan criterion. The DDE algori...
Quan-Qe Pan, Mehmet Fatih Tasgetiren, Yun-Chia Lia...
INFOCOM
2007
IEEE
14 years 1 months ago
Exploring VoD in P2P Swarming Systems
Abstract—Digital media companies have recently started embracing P2P networks as an alternative distribution mechanism. However, with current P2P swarming systems users need to d...
Siddhartha Annapureddy, Saikat Guha, Christos Gkan...