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[PDF] Top 20 A MULTI-POPULATION GENETIC ALGORITHM FOR TREE-SHAPED NETWORK DESIGN PROBLEMS

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A MULTI-POPULATION GENETIC ALGORITHM FOR TREE-SHAPED NETWORK DESIGN PROBLEMS

A MULTI-POPULATION GENETIC ALGORITHM FOR TREE-SHAPED NETWORK DESIGN PROBLEMS

... a multi-population genetic algorithm for tree-shaped network design problems using random ...with problems where the relative order of tasks is ...the ... See full document

6

A Multi-objective Approach for Multi-commodity Location within Distribution Network Design Problem

A Multi-objective Approach for Multi-commodity Location within Distribution Network Design Problem

... a multi-objective genetic algorithm (MOGA) to find a set of optimal pareto solution for Supply chain network (SCN) ...to design and plan a production –distribution system along the ... See full document

5

Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm

Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm

... the genetic algorithm can fi nd the most feasible ones. Genetic algorithm is an iterative adaptive probabilistic search algorithm; it emulates the evolution rule of “Survival of the fi ... See full document

16

A Hybrid Genetic Algorithm Approach for Concave Minimum Cost Network Flow Problems

A Hybrid Genetic Algorithm Approach for Concave Minimum Cost Network Flow Problems

... For network flow problems defined on complete graphs, only problems with up to 21 vertices are solved, for which the time requirements are above 13 ...a Genetic Algorithm (GA) approach ... See full document

6

Genetic Algorithm Based Proportional Integral Controller Design for Induction Motor

Genetic Algorithm Based Proportional Integral Controller Design for Induction Motor

... Implementation of GA for optimization: The primary concept of GA was first proposed by Dr. Holland in 1975. GA constitutes biologically inspired multiparameter search/optimization algorithms (Subramanian et al., 2010) ... See full document

5

An Efficient Way for Clustering Using Alternative Decision Tree

An Efficient Way for Clustering Using Alternative Decision Tree

... Background of alternative decision tree: The wide use of the search engine and the problem remained in it have motivated research in search results clustering. Currently various industrial systems implement search ... See full document

4

Evolutionary design of wireless sensor networks based on complex networks

Evolutionary design of wireless sensor networks based on complex networks

... is tree routing ...a tree routing, each sensor is configured to send its data only to a specific sensor node, denoted father ...of tree routing is the increased hop counts as compared with more ... See full document

6

Selection and genetic gain in rubber tree (Hevea) populations using a mixed mating system

Selection and genetic gain in rubber tree (Hevea) populations using a mixed mating system

... índice multi-efeitos em progênies de seringueira [Hevea brasiliensis (Willd ex ...índice multi-efeitos, quando não se considera o sistema reprodutivo misto para a ...índice multi-efeitos maxi- miza o ... See full document

10

Multi-Objective Optimization of the Performance of an UHB Turbofan with Regeneration

Multi-Objective Optimization of the Performance of an UHB Turbofan with Regeneration

... a design team with a common design approach and set of technologies assumptions to enable this ...Aerodynamic Design Point (ADP), which is Mach number, altitude and thrust, as well as equal OPR with ... See full document

137

Fuzzy Threshold Values in the Robust Design of Controllers for Probabilistic Uncertain Systems

Fuzzy Threshold Values in the Robust Design of Controllers for Probabilistic Uncertain Systems

... A multi-objective uniform-diversity genetic algorithm (MUGA) has been proposed and successfully used to optimally design linear state feedback controllers from a reliability-based point of ... See full document

6

A comparison of four data selection methods for artificial neural networks and support vector machines

A comparison of four data selection methods for artificial neural networks and support vector machines

... In many machine learning and data mining problems two basic tasks have to be considered: feature selection and instance selection. The former denotes choosing a subset of all available features so that the ... See full document

6

A dual exterior point simplex type algorithm for the minimum cost network flow problem

A dual exterior point simplex type algorithm for the minimum cost network flow problem

... First of all, we plan to present all the necessary mathematical proof of correctness of the proposed algorithm in a future work. DNEPSA is based on a set of lemmas and theorems, which were omitted in this paper, ... See full document

14

New genetic algorithm approach for the min-degree constrained minimum spanning tree

New genetic algorithm approach for the min-degree constrained minimum spanning tree

... Based on a thorough investigation of previous studies, we only found two suitable chromosome representations for trees. The first proposes the use of Pr¨ ufer numbers, where according to the constructive demonstration of ... See full document

31

GENETIC ALGORITHM FOR MULTIHOMING CELL ASSINGMENT PROBLEM IN WIRELESS ATM NETWORK

GENETIC ALGORITHM FOR MULTIHOMING CELL ASSINGMENT PROBLEM IN WIRELESS ATM NETWORK

... the design of cellular telecommunications networks, the handover and cabling cost management play an important ...ATM network in an optimal ...as multi-homing cell assignment ...on genetic ... See full document

7

A Genetic Algorithm Tutorial

A Genetic Algorithm Tutorial

... a genetic algorithm a hyperplane sampler and when it is a hill-climber? This is a nontrivial question since it is the hyperplane sampling abilities of genetic algorithms that are usually touted as ... See full document

37

Evolutionary Design of Engineering Constructions

Evolutionary Design of Engineering Constructions

... optimization problems with objective functions evaluated in a numerical ...optimization problems arising with the use of design codes constituting a discrete space of design ...those ... See full document

21

Survey of Classification Techniques in Data Mining

Survey of Classification Techniques in Data Mining

... decision tree algorithms cannot perform well with problems that require diagonal ...decision tree with linear discriminate for constructing multivariate decision ... See full document

5

A Bio-Inspired Algorithm based on Membrane Computing for Engineering Design problem

A Bio-Inspired Algorithm based on Membrane Computing for Engineering Design problem

... membrane algorithm combining the nested membrane structure and conventional genetic algorithm to solve multi-objective numerical optimization ...membrane algorithm that computed ... See full document

9

A priori data-driven multi-clustered reservoir generation algorithm for echo state network.

A priori data-driven multi-clustered reservoir generation algorithm for echo state network.

... 2) Evaluation and update: Further adjustments are made to the structure based on the pre- liminarily obtained multi-cluster reservoir. These adjustments are necessary to improve the performance. The priori data ... See full document

15

Taylor Approach for Solving Non-Linear Bi-level Programming Problem

Taylor Approach for Solving Non-Linear Bi-level Programming Problem

... Several algorithms have been presented for solving the BLPP [3, 4, 11, 12, 13, 21, 25]. These algorithms are divided into the following classes: Transformation methods [3, 4, 22, 23, 36], Fuzzy methods [5, 6, 7, 8, 24, ... See full document

7

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