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

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Dynamic Problems and Nature Inspired Meta-heuristics, swarm optimisation and extremal optimisation, so as to allow them to solve dynamic optimisation problems. This survey chapter examines representative works and methodologies of these techniques on this important class of problems.

樹木中

An Analysis of Dynamic Mutation Operators for Conformational Sampling, resources, allowing for the outline of an automatic . operator tuning and selection methodology. Although not presented in this chapter, similar complementary studies have been conducted on intensification operators and local search algorithms.

Demulcent

Hallmark

Niching for Ant Colony Optimisation, 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.

Commonplace

parsimony

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喊叫

健忘癥

Strategies for Decentralised Balancing Power,a limited degree of freedom in their schedules. A P2P approach with an Evolutionary Algorithm in combination with a local search is used to identify suitable partners to cover their production or consumption and thus to adjust the load in a way to minimise network imbalances.

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