Top PDF An evolutionary approach for semiconductor nanodevices optimization
An evolutionary approach for semiconductor nanodevices optimization
... ductor nanodevices with undesirable layers thickness. The optimization procedure proposed here was able to find satisfactory results, overcoming the known exper- imental ...all optimization cases, the ...
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An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment
... The literature describes different ways to deal with this non linear relation. If the head loss term in (7) is neglected, we get a linear function between the power and the flow. Doing this, the power is larger than the ...
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Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm
... be an interesting approach due to its good spatial resolution and optical contrast besides being capable of imaging at greater depths than purely optical techniques (Wang and Hu, 2012; Xu and Wang, ...
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Two-dimensional placement compaction using an evolutionary approach: a study
... create an initial B*-tree, a new operation to explore the search space, and an innovative search strategy to balance global exploration and local ...by an evaluation function that compares the height ...
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An evolutionary approach to improve connectivity prediction in mobile wireless sensor networks
... The evolutionary technique used in our GMLA is based on Classifier Systems [6], a machine-learning technique based on genetic algorithms (GA) that is capable of learning syntactically simple ...
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Procedural Optimization Models for Multiobjective Flexible JSSP
... of optimization processes. This special kind of approach was imposed by the major difficulty in rigorous mathematical characterization of big complex technologi- cal processes behavior, as also MOFJSSP are; ...
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Particle Swarm Optimization Approach For Economic Load Dispatch: A Review
... presented an efficient and reliable particle swarm optimization algorithm for solving the economic dispatch problems with smooth cost functions as well as cubic fuel cost ...solve an ...
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Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks
... for an objective is proportional to the preference factor assigned to that particular ...secularizing an objective vector into a single composite objective function converts the multi-objective ...
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Query join ordering optimization with evolutionary multi-agent systems
... query optimization in distributed DBMS is proposed in Ghaemi, Fard, Tabatabaee, and Sadeghizadeh ...their approach takes less time for processing the queries. An extension of Ghaemi et ...building ...
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Application of an iterative method and an evolutionary algorithm in fuzzy optimization
... Due to the increasing interest in augmentation of fuzzy systems with learning and adaptation capabilities we find works that join it with some soft computing techniques. In (Cord ´on et al., 2004), a brief introduction ...
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Multiobjective optimization of MPLS-IP networks with a variable neighborhood genetic algorithm
... proposes an algorithm to optimize multiple Quality of Service indices of Multi Protocol Label Switching (MPLS) IP ...Such an approach aims at mini- mizing the network cost and the amount of ...
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New insights on neutral binary representations for evolutionary optimization
... provide an im- portant basis for the study of the relationships between them and will allow to study to what extent these properties can affect the performance of an evolutionary ...
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An exact optimization approach for personnel scheduling problems in the call center industry
... heuristic optimization procedure for the integrated personnel shift and task re-scheduling problem ...compose an integrated schedule, making a lot of deterministic assumptions, like the workers’ ...
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Feature Selection via Chaotic Antlion Optimization.
... propose an optimization approach for the feature selection problem that considers a “chaotic” version of the antlion optimizer method, a nature-inspired algorithm that mimics the hunting mechanism of ...
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Preference-guided evolutionary algorithms for optimization with many objectives
... I proposed in this work the incorporation of preferences in an EA in order to better help the DM in problems with many objectives. In this way, the main challenges faced by EAs could be solved more efficiently: ...
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Transgenic, an operator for Evolutionary Algorithms
... studied evolutionary systems with the idea that evolution could be used as an optimization tool for engineering ...To evolutionary-computation researchers, the mecha- nisms of evolution seem ...
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Amyloid-based nanosensors and nanodevices
... tion increasing gene transfer in mice models. (a–d) Amyloid fibrils, formed from a self-assembling 12 amino acids peptide named enhancing factor C (EF-C), are transduction enhancers. (a) Inoculating HeLa cells (blue) ...
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Optimal Network Design for Consensus Formation: Wisdom of Networked Agents
... Evolutionary optimized networks for faster consensus is made of a ring and many tree structures that are connected to various nodes on the ring. Although Ramanujan networks are known to have fast consensus ...
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Topology Optimization- Problem Formulation and Pragmatic Outcomes by integration of TOSCA and CAE tools
... Abstract—Structural optimization tools have grasped enormous applications in engineering design and development activities because of increasing demands of lightweight and rigid ...structural optimization ...
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Order Reduction of Linear Interval Systems Using Genetic Algorithm
... Abstract— This paper presents an algorithm for order reduction of higher order linear interval system into stable lower order linear interval system by means of Genetic algorithm. In this algorithm the numerator ...
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