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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
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 3 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
CEC
2007
IEEE
14 years 3 months ago
Three-dimensional offline path planning for UAVs using multiobjective evolutionary algorithms
In this paper, we present 3D offline path planner for Unmanned Aerial Vehicles (UAVs) using Multiobjective Evolutionary Algorithms for finding solutions corresponding to conflictin...
Shashi Mittal, Kalyanmoy Deb
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 4 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
CEC
2008
IEEE
14 years 6 months ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
EVOW
2010
Springer
14 years 6 months ago
Start-Up Optimisation of a Combined Cycle Power Plant with Multiobjective Evolutionary Algorithms
Abstract. In this paper we present a study of the application of Evolutionary Computation methods to the optimisation of the start-up of a combined cycle power plant. We propose a ...
Ilaria Bertini, Matteo De Felice, Fabio Moretti, S...