Titlebook: Biologically-Inspired Optimisation Methods; Parallel Algorithms, Andrew Lewis,Sanaz Mostaghim,Marcus Randall Book 2009 Springer-Verlag Berl

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Guiding Agent Learning in Design and Ant Colony Optimisation. This paper discusses niching techniques for Ant Colony Optimisation. Two niching Ant Colony Optimisation algorithms are introduced and an empirical analysis and critical evaluation of these techniques presented for a suite of single and multiple objective optimisation problems.

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1860-949X ts problems.? The systems She provides are often based on simple rules and premises, yet are able to adapt to new and complex environments quickly and efficiently.? Problems from a range of human endeavours, including, science, engineering and economics, require us to find good quality solutions in

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Weiming Shen,Jean-Paul A. Barthèso apply parallel performance measures in multi-objective evolutionary algorithms taking into consideration their stochastic nature. Finally, we present a selection of current parallel multi-objective evolutionary algorithms that integrate novel strategies to address multi-objective issues.

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Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments,at at least partly asynchronous algorithms should be used in real-world environments. Finally, the issue of how to utilise newly available nodes, as well as the loss of existing nodes, is considered and two methods of generating new particles during algorithm execution are investigated.