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[PDF] Top 20 On optimizing the build orientation problem using genetic algorithm

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On optimizing the build orientation problem using genetic algorithm

On optimizing the build orientation problem using genetic algorithm

... Abstract. Build orientation is a critical issue in Additive manufacturing (AM), where three-dimensional objects are created layer- by-layer directly from a 3D CAD model, since it is associated with ... See full document

6

SOLUTION OF TRAVELING SALESMAN PROBLEM ON SCX BASED SELECTION WITH PERFORMANCE ANALYSIS USING GENETIC ALGORITHM

SOLUTION OF TRAVELING SALESMAN PROBLEM ON SCX BASED SELECTION WITH PERFORMANCE ANALYSIS USING GENETIC ALGORITHM

... The genetic randomize search and optimization technique guided by the principal of natural genetic system and natural evolution ...includes the “survival of the fittest” idea ... See full document

8

An Improved Genetic Algorithm Based on Adaptive Repair Operator for Solving the Knapsack Problem

An Improved Genetic Algorithm Based on Adaptive Repair Operator for Solving the Knapsack Problem

... by using a simple to implement adaptive repair operator which incorporates a strategy of making all bits of the chromosome equal to zero from the point where the fitness exceeds the ... See full document

4

Unequal individual genetic algorithm with intelligent diversification for the lot-scheduling problem in integrated mills using multiple-paper machines

Unequal individual genetic algorithm with intelligent diversification for the lot-scheduling problem in integrated mills using multiple-paper machines

... addresses the lot-sizing and scheduling problem of pulp and paper mills involving multiple paper ...machines. The underlying multi-stage integrated production process considers the following ... See full document

30

CLUSTERING TWEETS USING CELLULAR GENETIC ALGORITHM

CLUSTERING TWEETS USING CELLULAR GENETIC ALGORITHM

... advance. The formulation of the problem of clustering tweets based on their similarity is motivated by an essential remark: The tweet content similarity can be used as one of the ... See full document

12

Project Scheduling problem using metaheuristic algorithm

Project Scheduling problem using metaheuristic algorithm

... operator on chromosome second ...operates on parent chromosome second part is ...operated on all answers as parents, but rather its operating quantity is controlled by one of the ... See full document

11

Optimizing propagation models on railway communications using genetic algorithms

Optimizing propagation models on railway communications using genetic algorithms

... out the best optimization mechanism for the problem. The algorithm will use a training sample (based on measurements) to obtain the optimized model ...and the new ... See full document

8

Optimized Crossover Genetic Algorithm for Vehicle Routing Problem with Time Windows

Optimized Crossover Genetic Algorithm for Vehicle Routing Problem with Time Windows

... Abstract: Problem statement: In this study, we considered the application of a genetic algorithm to vehicle routing problem with time windows where a set of vehicles with limits ... See full document

7

Creating 3D object descriptors using a genetic algorithm

Creating 3D object descriptors using a genetic algorithm

... to the determination of one or more possible solutions, which represent the extreme values of one or more fitness ...to the resolution of practical ...objective problem. The problems ... See full document

54

Improving the Solution of Traveling Salesman Problem Using Genetic, Memetic Algorithm and Edge assembly Crossover

Improving the Solution of Traveling Salesman Problem Using Genetic, Memetic Algorithm and Edge assembly Crossover

... Cupidity Algorithm, Dynamic Programming Algorithm, are all facing the same obstacle, which is when the problem scale N reaches to a certain degree, the so- called “Combination ... See full document

4

MIMO array capacity optimization using a genetic algorithm

MIMO array capacity optimization using a genetic algorithm

... discusses the design of multiple- input–multiple-output (MIMO) antenna systems and proposes a genetic algorithm to obtain the position and orientation of each MIMO array antenna that ... See full document

11

Coarse-Grained Parallel Genetic Algorithm to solve the Shortest Path Routing problem using Genetic operators

Coarse-Grained Parallel Genetic Algorithm to solve the Shortest Path Routing problem using Genetic operators

... networks, the task of finding a path from source node to destination node is known as ...Based on the shortest path, we have to find routing to a given ...algorithms. The alternative methods ... See full document

4

A Genetic Algorithm Approach for Solving a Flexible Job ShopScheduling Problem

A Genetic Algorithm Approach for Solving a Flexible Job ShopScheduling Problem

... scheduling problem (FJSSP) is known as a NP-hard problem in the field of ...Considering the dynamic state of the real world makes this problem more and more ...in the ... See full document

6

A genetic algorithm to solve a multi-product distribution problem

A genetic algorithm to solve a multi-product distribution problem

... a genetic algorithm (GA) built from scratch in Python language. The programming language chosen is, first, the one that the mentee has some knowledge of and, secondly, Python’s ... See full document

82

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 ...this problem, one wishes to schedule energy production on a given set of thermal generation units ... See full document

12

No-wait Flowshop Scheduling Using Genetic Algorithm

No-wait Flowshop Scheduling Using Genetic Algorithm

... scheduling problem that exists widely in manufacturing ...processed on m machines using a general purpose spreadsheet based genetic algorithm ...(GA). The proposed approach ... See full document

4

OPTIMIZING LOCALIZATION ROUTE USING PARTICLE SWARM-A GENETIC APPROACH

OPTIMIZING LOCALIZATION ROUTE USING PARTICLE SWARM-A GENETIC APPROACH

... From the Table 2 derived from Table 1, it is noted that the computational complexity of PSO-GA algorithm is lowest and it has the highest localization precision with the same parameters ... See full document

8

Optimizing Live Digital Evidence Mining Using Structural Subroutines of Apriori Algorithm

Optimizing Live Digital Evidence Mining Using Structural Subroutines of Apriori Algorithm

... Investigation, the most critical part is evidence ...depends on the quantity and credibility of the evidence ...collected. The problem in investigation of Network based crime is ... See full document

7

Build orientation optimization problem in additive manufacturing

Build orientation optimization problem in additive manufacturing

... approximates the surfaces of a solid model by a poly- hedral representation of a 3D object using triangular ...facets. The more complex the surface is more triangles are ...replace the ... See full document

37

Optimizing Inventory Using Genetic Algorithm for Efficient Supply Chain Management

Optimizing Inventory Using Genetic Algorithm for Efficient Supply Chain Management

... Abstract: Problem statement: Today, inventory management is considered to be an important field in Supply chain ...Once the efficient and effective management of inventory is carried out throughout ... See full document

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