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Parallel multi-objective optimization using self-organized heterogeneous resources
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Preference-based multi-objective particle swarm optimization using desirabilities
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Organic computing in off-highway machines
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Parallel optimisation and parameter fitting
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The automotive deployment problem: A practical application for constrained multiobjective evolutionary optimisation
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Asynchronous multi-objective optimisation in unreliable distributed environments
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Decentralized evolution of robotic behavior using finite state machines
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Self-organized parallel cooperation for solving optimization problems
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Studies in Computational Intelligence: Preface
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Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks
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Empirical comparison of MOPSO methods-guide selection and diversity preservation
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Intelligent business process execution using particle swarm optimization
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Online and onboard evolution of robotic behavior using finite state machines
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Design of gate array circuits using evolutionary algorithms
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Distance based ranking in many-objective particle swarm optimization
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Hybridizing evolutionary strategies with continuation methods for solving multi-objective problems
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Parallel approaches for multiobjective optimization
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Asynchronous multiple objective particle swarm optimisation in unreliable distributed environments
In: 2008 IEEE Congress on Evolutionary Computation, CEC 2008, 2008, S. 2481-2486, 10.1109/CEC.2008.4631130

Evolutionary population dynamics and multi-objective optimisation problems
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Parallel multi-objective optimization using master-slave model on heterogeneous resources
In: 2008 IEEE Congress on Evolutionary Computation, CEC 2008, 2008, S. 1981-1987, 10.1109/CEC.2008.4631060

Heatmap visualization of population based multi objective algorithms
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Multi-objective particle swarm optimization on computer grids
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About selecting the personal best in multi-objective particle swarm optimization
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Linear multi-objective particle swarm optimization
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Bilevel optimization of multi-component chemical systems using particle swarm optimization
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Hybrid particle guide selection methods in multi-objective particle swarm optimization
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Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization
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Molecular force field parametrization using multi-objective evolutionary algorithms
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Covering Pareto sets by multilevel evolutionary subdivision techniques
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Solving hierarchical optimization problems using MOEAs
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The role of ε-dominance in multi objective particle swarm optimization methods
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Comparison of data structures for storing Pareto-sets in MOEAs
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