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

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Asynchronous Multi-Objective Optimisation in Unreliable Distributed Environments,neous, fault-prone environments. The chapter starts with a simple parallelisation paradigm, the Master-Slave model using Multi-Objective Particle Swarm Optimisation (MOPSO) in a heterogeneous environment. Extending the investigation to general, distributed environments, algorithm convergence is meas

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Dynamic Problems and Nature Inspired Meta-heuristics, One of the key aspects of biological systems is their ability to adapt to changing environmental conditions. Yet, biologically inspired optimisation techniques are mostly used to solve static problems (problems that do not change while they are being solved) rather than their dynamic counterparts.

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Using Ant Colony Optimisation to Construct Meander-Line RFID Antennas,Radio Frequency IDentification (RFID). One of the most important components of RFID systems is the antenna and its design is critical to the utility of such tracking systems. Design engineers have traditionally constructed small antennas using their knowledge and intuition, as there is no simple ana

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The Radio Network Design Optimization Problem,ect. The Radio Network Design (RND) is a NP-hard optimization problem which consists on the maximization of the coverage of a given area while minimizing the base station (BS) deployment. Solving such problems resourcefully is relevant for many fields of application and has direct impact in engineer

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Strategies for Decentralised Balancing Power,tion and consumption. Despite these measures there will always be an imbalance between production and consumption, i.e. due to fluctuating resource availabilities and unforeseen changes in consumption. As .. emissions and sustainable electricity production have entered the focus of attention in poli

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An Analysis of Dynamic Mutation Operators for Conformational Sampling, by a parallel Optimal Computing Budget Allocation (OCBA) selection procedure, employed in order to attain computational speedup. A Pearson system distribution based mutation operator is proposed, allowing for a highly flexible construction. As defined by a set of four parameters, the mean, variance

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