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[PDF] Top 20 New genetic algorithm approach for the min-degree constrained minimum spanning tree

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

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

... a new algorithmic approach for the approxima- tion of the NP-hard md-MST problem presenting three novel genetic algorithm ...for the ob- tention of feasible md-MST trees ... See full document

31

Problema de Árvore Geradora Mínima com Restrição de Grau Mínima e Centrais e Terminais Fixos

Problema de Árvore Geradora Mínima com Restrição de Grau Mínima e Centrais e Terminais Fixos

... he Min-Degree Constrained Minimum Spannig Tree - MD-MST is to find a minimum spanning tree of a graph where each vertex is a leaf of the tree or ... See full document

133

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

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

... multi-population genetic algorithm for tree-shaped network design problems using random ...optimal spanning trees suggests the use of genetic ...where the relative order ... See full document

6

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

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

... small degree vertices and general concave cost ...(DP) approach are ...which the time requirements are above 13 ...from the structure of a lower bound solution to the concave MCNFP in ... See full document

6

AN EFFICIENT FAULT TOLERANT SCHEDULING APPROACH FOR COMPUTATIONAL GRID

AN EFFICIENT FAULT TOLERANT SCHEDULING APPROACH FOR COMPUTATIONAL GRID

... over Min-Min algorithm. The addition of transmission time in scheduling criteria enables the sight over the transmission cost of data’s or packets where the actual grid ... See full document

6

A Biased Random Key Genetic Algorithm Approach for Unit Commitment Problem

A Biased Random Key Genetic Algorithm Approach for Unit Commitment Problem

... Key Genetic Algorithm (BRKGA) is proposed to find solutions for the unit commitment ...at minimum cost, while satisfying a set of technological and spinning reserve ...In the BRKGA, ... See full document

12

Genetic Algorithm Based Proportional Integral Controller Design for Induction Motor

Genetic Algorithm Based Proportional Integral Controller Design for Induction Motor

... a new chromosome obtained through the steps of selection, crossover and ...emulates the survival of the fittest mechanism in nature. The Roulette wheel selection is the most ... See full document

5

Revisiting the NEH algorithm- the power of job insertion technique for optimizing the makespan in permutation flow shop scheduling

Revisiting the NEH algorithm- the power of job insertion technique for optimizing the makespan in permutation flow shop scheduling

... (1954) algorithm reported optimal makespan for two machines, n number of jobs in a permutation flow shop ...over the years. The CDS algorithm proposed by Campbell et ...is the extension ... See full document

14

Genetic Algorithm Based Approach for Obtaining  Alignment of Multiple Sequences

Genetic Algorithm Based Approach for Obtaining Alignment of Multiple Sequences

... presents genetic algorithm based solution for determing alignment of multiple molecular ...analysis. Genetic operators like cross over rate, mutation rate can be defined by the ...that ... See full document

6

Vertical Handoff Using the Application of Spanning Tree in 4 G

Vertical Handoff Using the Application of Spanning Tree in 4 G

... minimum spanning tree we will able to find all the aspects: (a) No Time loss (b) Maintaining Security (c) Low cost of service (d) Low power requirements ...[1]. The handoff technique is ... See full document

4

A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty

A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty

... into constrained optimization ...solve the constrained optimization problems, there exist some classical methods[1], such as penalty function method, Lagrangian multiplier method, Sequential ... See full document

7

Optimizing Inventory Using Genetic Algorithm for Efficient Supply Chain Management

Optimizing Inventory Using Genetic Algorithm for Efficient Supply Chain Management

... Once the efficient and effective management of inventory is carried out throughout the supply chain, service provided to the customer ultimately gets ...for the supply chain, the ... See full document

9

A Heuristic Approach for Minimum Set Cover Problem

A Heuristic Approach for Minimum Set Cover Problem

... heuristic approach to solve MSCP using modified hill climbing ...knowledge, the same approach for MSCP of this paper has not been yet ...Greedy Minimum Set Cover [14] and Linear Polynomial ... See full document

6

Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems

Ant colony algorithms for multiple objective combinatorial optimization: applications to the minimum spanning trees problems

... (Spanning Tree Protocol ...connect. The existence of multiple paths requires the defin- ition of a set of rules to avoid traffic congestion in internal network ...loops. The ... See full document

308

Optimization of Turning Operations by Using a Hybrid Genetic Algorithm with Sequential Quadratic Programming

Optimization of Turning Operations by Using a Hybrid Genetic Algorithm with Sequential Quadratic Programming

... on the stable cutting region has been suggested by Philipson and Ravindran [15] in order to take into account the prevention of chatter vibration, adhesion and formation of a built-up ...of the ... See full document

7

A Genetic Algorithm Tutorial

A Genetic Algorithm Tutorial

... was the rst of what Syswerda (1989) has termed \steady state" genetic ...algorithms. The name \steady state" is somewhat misleading, since these algorithms show more variance than canonical ... See full document

37

Predictive models of buildings energy consumption

Predictive models of buildings energy consumption

... minimize the waste of energy, researchers from various fields of knowledge have joined efforts and created ways to improve the agreement between the production and con- sumption of ...Over the ... See full document

75

Crop yield is mainly influenced by climatic conditions

Crop yield is mainly influenced by climatic conditions

... Jataí the sowing dates were suitable between 21/Sept and 21/Jan for all cultivars, while between 01/Feb and 11/Apr the conditions were unsuitable, except for less drought tolerant cultivar that has 01/Feb ... See full document

8

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 ...partitioning. The division f the instance space is orthogonal to the axis of one variable and parallel to ... See full document

5

Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

... In the field of control systems it is common to use techniques based on model adaptation to carry out control for plants for which mathematical analysis may be ...on the quality of results given by two ... See full document

6

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