• No results found

[PDF] Top 20 Genetic based Algorithm for N Puzzle Problem

Has 10000 "Genetic based Algorithm for N Puzzle Problem" found on our website. Below are the top 20 most common "Genetic based Algorithm for N Puzzle Problem".

Genetic based Algorithm for N   Puzzle Problem

Genetic based Algorithm for N Puzzle Problem

... – Puzzle being NP Hard problem, if solved using brute force technique requires a lot of time which is exponential in ...The problem has many optimal solutions and to reach one of the optimal solution ... See full document

7

Developing a Java-based Genetic Algorithm to Solve the Travelling Salesman Problem

Developing a Java-based Genetic Algorithm to Solve the Travelling Salesman Problem

... Salesman Problem (TSP) is a well-known example of a classical combinatorial optimization ...given N number of cities where N must be greater than two (N > ...the problem. If there ... See full document

7

Solution to profit based unit commitment problem using genetic Algorithm

Solution to profit based unit commitment problem using genetic Algorithm

... the problem of determining the schedule of generating units subject to device and operating ...profit based unit commitment has been discussed and the solution is obtained by genetic algorithm ... See full document

5

A New Genetic Algorithm with Agent-Based Crossover for Generalized Assignment Problem

A New Genetic Algorithm with Agent-Based Crossover for Generalized Assignment Problem

... Branch-and-price algorithm [25], cutting plane algo- rithm [1], branch-and-cut algorithm [18], branch-and- bound [11] have been the significant ones of them in the last two ...evolution algorithm ... See full document

12

Modified Genetic Algorithm to get near Optimal solution for Class Time Table Problem

Modified Genetic Algorithm to get near Optimal solution for Class Time Table Problem

... The genetic algorithm is one that seeks to find the most optimal solutions where the search space is great and conventional methods are ...using genetic operators. Basic genetic ... See full document

10

Diversity based adaptive genetic algorithm for a workforce scheduling and routing problem

Diversity based adaptive genetic algorithm for a workforce scheduling and routing problem

... each problem instance can work well particularly in the initial stages of the evolutionary ...a genetic algorithm (GA) tailored for tackling the workforce scheduling and routing problem ... See full document

8

Study and Application of TSP Based on Genetic Algorithm

Study and Application of TSP Based on Genetic Algorithm

... The genetic algorithm which is a parallel random search optimization method was put forward in 1962 by Professor Holland of Michigan University in the United ...States. Genetic algorithm ... See full document

5

Solving uncapacitated multiple allocation p-hub center problem by Dijkstra’s algorithm-based genetic algorithm and simulated annealing   Pages 405-418
		 Download PDF

Solving uncapacitated multiple allocation p-hub center problem by Dijkstra’s algorithm-based genetic algorithm and simulated annealing Pages 405-418 Download PDF

... the problem and the challenges for solving ...the problem Dijkstra’s algorithm could be successfully used in order to find the shortest path from each node to any other ...Dijkstra’s algorithm ... See full document

14

Different Applications of the Genetic Mutation Operator for Symetric Travelling Salesman Problem

Different Applications of the Genetic Mutation Operator for Symetric Travelling Salesman Problem

... The problem to find a minimal Hamiltonian cycle in a graph is an optimization ...Salesman Problem, and its variants and detailed description are presented in [30] and ... See full document

9

A New Genetic Algorithm based Method for Topological Optimization of Interconnection Networks

A New Genetic Algorithm based Method for Topological Optimization of Interconnection Networks

... optimization problem considering the network reliability along with other objectives such as cost is an NP- hard problem ...enumerative based approach and heuristic based approach for solving ... See full document

7

Genetic Algorithm Based Hybrid Approach to Solve Multi-Objective Assignment Problem

Genetic Algorithm Based Hybrid Approach to Solve Multi-Objective Assignment Problem

... Genetic algorithm is a most adaptive optimization search methodologies based on machine of natural genetics, natural selection and survival of fitness in biologica l ...basic genetic operators ... See full document

12

A Promising Initial Population Based Genetic Algorithm for Job Shop Scheduling Problem

A Promising Initial Population Based Genetic Algorithm for Job Shop Scheduling Problem

... job based representation [20], the previous study had shown favorable ...in genetic algorithms, this study aims to establish the effect of initial population scheme on the overall convergence of each ... See full document

7

A Review of Various Algorithms Used to Optimize RWA Problem in WDM Network

A Review of Various Algorithms Used to Optimize RWA Problem in WDM Network

... RWA problem are given under dynamic and static traffic ...assignment problem was solved by proposing new strategies ...RWA problem and use a multi objective GA(Genetic algorithm) to ... See full document

6

2DOF Hloop shaping control, genetic

2DOF Hloop shaping control, genetic

... this problem, fixed structure robust loop shaping control is proposed to design the structure specified robust controller; this technique gains more attention because the structure of controller is simple with low ... See full document

6

Unrelated Parallel Machines Scheduling with the Effect of Aging and Learning under Multi Maintenance Activities

Unrelated Parallel Machines Scheduling with the Effect of Aging and Learning under Multi Maintenance Activities

... The problem under study is NP-hard even without consideration of the learning effect, aging effect and multi-maintenance ...therefore genetic algorithm and the imperialist competitive ... See full document

7

A Genetic Algorithm for Resource Contrained Project Scheduling Problem

A Genetic Algorithm for Resource Contrained Project Scheduling Problem

... The algorithm solves each one of the instances with a maximum number of 1,000 schedules, computed as terminating ...the algorithm different problem set instances were solved ... See full document

6

A genetic simplified swarm algorithm for optimizing n  cities open loop travelling salesman problem

A genetic simplified swarm algorithm for optimizing n cities open loop travelling salesman problem

... TSP is a well-known combinatorial problem that is often used to model vehicles’ routing issues such as in transportation scenarios. However, it is realized that the problems are not exactly similar as what has ... See full document

56

A New Approach to Solve N-Queen Problem with Parallel Genetic Algorithm

A New Approach to Solve N-Queen Problem with Parallel Genetic Algorithm

... a problem depends on how difficult the problem ...a problem. If a problem has given solution in a small amount of time, then it can be easily solved in polynomial time and named as tractable ... See full document

10

The Minimum Steiner Tree Problem Based on Genetic Algorithm

The Minimum Steiner Tree Problem Based on Genetic Algorithm

... Because the distance between the two locations is directly proportional to the cost of laying the optical cable, the problem to solve is how to design the laying cable line, making the network connected and the ... See full document

5

A Genetic Algorithm based Solution to the Teaching Assignment Problem

A Genetic Algorithm based Solution to the Teaching Assignment Problem

... of n discrete units can be assigned p candidate educators with the required knowledge to deliver that ...p n distinct configurations, although this is reduced significantly in practice as not all educators ... See full document

6

Show all 10000 documents...