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[PDF] Top 20 An evolutionary approach for semiconductor nanodevices optimization

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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 ... See full document

99

An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment

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 ... See full document

5

Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm

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, ... See full document

10

Two-dimensional placement compaction using an evolutionary approach: a study

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 ... See full document

81

An evolutionary approach to improve connectivity prediction in mobile wireless sensor networks

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 ... See full document

6

Procedural Optimization Models for Multiobjective Flexible JSSP

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; ... See full document

12

Particle Swarm Optimization Approach For Economic Load  Dispatch: A Review

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 ... See full document

10

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

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 ... See full document

10

Query join ordering optimization with evolutionary multi-agent systems

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 ... See full document

11

Application of an iterative method and an evolutionary algorithm in fuzzy optimization

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 ... See full document

15

Multiobjective optimization of MPLS-IP networks with a variable neighborhood genetic algorithm

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 ... See full document

96

New insights on neutral binary representations for evolutionary optimization

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 ... See full document

22

An exact optimization approach for personnel scheduling problems in the call center industry

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’ ... See full document

84

Feature Selection via Chaotic Antlion Optimization.

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 ... See full document

21

Preference-guided evolutionary algorithms for optimization with many objectives

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: ... See full document

143

Transgenic, an operator for Evolutionary Algorithms

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 ... See full document

7

Amyloid-based nanosensors and nanodevices

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) ... See full document

20

Optimal Network Design for Consensus Formation: Wisdom of Networked Agents

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 ... See full document

8

Topology Optimization- Problem Formulation and Pragmatic Outcomes by integration of TOSCA and CAE tools

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 ... See full document

6

Order Reduction of Linear Interval Systems Using Genetic Algorithm

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 ... See full document

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