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GECCO
2010
Springer
141views Optimization» more  GECCO 2010»
14 years 2 months ago
Today/future importance analysis
SBSE techniques have been widely applied to requirements selection and prioritization problems in order to ascertain a suitable set of requirements for the next release of a syste...
Yuanyuan Zhang, Enrique Alba, Juan J. Durillo, Sig...
GECCO
2010
Springer
206views Optimization» more  GECCO 2010»
14 years 2 months ago
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms
Particle swarm optimization (PSO) has been in practice for more than 10 years now and has gained wide popularity in various optimization tasks. In the context to single objective ...
Kalyanmoy Deb, Nikhil Padhye
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
14 years 2 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
14 years 2 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
GECCO
2010
Springer
192views Optimization» more  GECCO 2010»
14 years 2 months ago
Resource abundance promotes the evolution of public goods cooperation
Understanding the evolution of cooperation as part of an evolutionary stable strategy (ESS) is a difficult problem that has been the focus of much work. The associated costs of co...
Brian D. Connelly, Benjamin E. Beckmann, Philip K....
EUROGP
2010
Springer
160views Optimization» more  EUROGP 2010»
14 years 2 months ago
Fine-Grained Timing Using Genetic Programming
In previous work, we have demonstrated that it is possible to use Genetic Programming to minimise the resource consumption of software, such as its power consumption or execution t...
David Robert White, Juan E. Tapiador, Julio C&eacu...
EUROGP
2010
Springer
172views Optimization» more  EUROGP 2010»
14 years 2 months ago
Geometric Differential Evolution on the Space of Genetic Programs
Abstract. Geometric Differential Evolution (GDE) is a very recently introduced formal generalization of traditional Differential Evolution (DE) that can be used to derive specific ...
Alberto Moraglio, Sara Silva
LION
2010
Springer
197views Optimization» more  LION 2010»
14 years 3 months ago
Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer
The interactive decision making (IDM) methods exploit the preference information from the decision maker during the optimization task to guide the search towards favourite solution...
Paolo Campigotto, Andrea Passerini
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 3 months ago
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed
This paper investigates the impact of sequential selection, a concept recently introduced for Evolution Strategies (ESs), that consists in performing the evaluations of the diffe...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
180views Optimization» more  GECCO 2010»
14 years 3 months ago
Comparison of NEWUOA with different numbers of interpolation points on the BBOB noisy testbed
In this paper, we study the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) with different numbers of interpolation points. NEWUOA is a trust region method, ...
Raymond Ros