Abstract

In this paper, an attempt has been made to solve the word tile puzzle with the help of Bee Colony Algorithm, in order to find maximum number of words by moving a tile up, down, right or left. Bee Colony Algorithm is a type of heuristic algorithms and is efficient and better than blind algorithms, in terms of running time and cost of search time. To examine the performance of the implemented algorithm, several experiments were performed with various combinations. The algorithm was evaluated with the help of statistical functions, such as average, maximum and minimum, for hundred and two-hundred iterations. Results show that an increasing number of agents can improve the average number of words found for both number of tested iterations. However, continuous increase in number of steps will not improve the results. Moreover, results of both iterations showed that the overall performance of the algorithm was not much improved by increasing the number of iterations.

Highlights

  • The prime inspiration to design any optimization algorithm is to simulate natural processes

  • Lots of algorithms have proved their inspiration from natural process such as simulated annealing (SA), genetic algorithms (GA) [1], ant colony optimization (ACO) [2], particle swarm optimization (PSO) and other Swarm Intelligences (SI) [3]

  • The purpose of this paper is to develop a slide tile game

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Summary

INTRODUCTION

The prime inspiration to design any optimization algorithm is to simulate natural processes. Lots of algorithms have proved their inspiration from natural process such as simulated annealing (SA), genetic algorithms (GA) [1], ant colony optimization (ACO) [2], particle swarm optimization (PSO) and other Swarm Intelligences (SI) [3]. Swarm Intelligence is based on the collective behaviour of individuals in various decentralized systems. These decentralized systems are composed of physical individuals that communicate, cooperate, collaborate, and exchange information and knowledge among themselves to perform some tasks in their environment [4]. An attempt has been made to solve the word tile puzzle problem for the most optimum solution by taking an inspiration from natural processes. By moving the tiles (up, down, right, left) a specific situation should be found, where the graph contains a maximum number of words (length 2 to n)

F PMS XGA P E FVE OIR
LITERATURE REVIEW
Step 1
Step 2
Step 3
Step 5
RESULTS
Evaluation measurements
Results for 100 iterations
Agents
Results for 200 iterations
10 Steps 20 Steps 30 Steps 40 Steps
FUTURE WORK

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