Genetic Algorithm Solving Orienteering Problem in Large Networks

نویسندگان

  • Joanna Karbowska-Chilinska
  • Jolanta Koszelew
  • Krzysztof Ostrowski
  • Pawel Zabielski
چکیده

This paper proposes an effective genetic algorithm (GA) with inserting as well as removing mutation so as to solve the Orienteering Problem (OP). In order to obtain improved results we have taken into consideration not only the total profit but also the travel length for the given path. The computer experiments that have been conducted on a large transport network (approximately 900 vertices) present better solutions in comparison to the well-known Guided Local Search (GLS) method. It should be stated that GA is significantly faster than GLS.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Solving multi-objective team orienteering problem with time windows using adjustment iterated local search

One of the problems tourism faces is how to make itineraries more effective and efficient. This research has solved the routing problem with the objective of maximizing the score and minimizing the time needed for the tourist’s itinerary. Maximizing the score means collecting a maximum of various kinds of score from each destination that is visited. The profits differ according to whether those...

متن کامل

Solving Re-entrant No-wait Flexible Flowshop Scheduling Problem; Using the Bottleneck-based Heuristic and Genetic Algorithm

In this paper, we study the re-entrant no-wait flexible flowshop scheduling problem with makespan minimization objective and then consider two parallel machines for each stage. The main characteristic of a re-entrant environment is that at least one job is likely to visit certain stages more than once during the process. The no-wait property describes a situation in which every job has its own ...

متن کامل

Optimizing Multiple Response Problem Using Artificial Neural Networks and Genetic Algorithm

  This paper proposes a new intelligent approach for solving multi-response statistical optimization problems. In most real world optimization problems, we are encountered adjusting process variables to achieve optimal levels of output variables (response variables). Usual optimization methods often begin with estimating the relation function between the response variable and the control variab...

متن کامل

Solving the Traveling Salesman Problem by an Efficient Hybrid Metaheuristic Algorithm

The traveling salesman problem (TSP) is the problem of finding the shortest tour through all the nodes that a salesman has to visit. The TSP is probably the most famous and extensively studied problem in the field of combinatorial optimization. Because this problem is an NP-hard problem, practical large-scale instances cannot be solved by exact algorithms within acceptable computational times. ...

متن کامل

Zeszyty Naukowe Politechniki Białostockiej. Informatyka the Comparison of Genetic Algorithms Which Solve Orienteering Problem Using Complete and Incomplete Graph

The purpose of this work was to compare two forms of genetic algorithm (complete and incomplete graph version) which solves Orienteering Problem (OP). While in most papers concerning OP graph is complete and satisfies triangle inequality, in our versions such assumptions may not be satisfied. It could be more practical as transport networks are graphs which do not have to satisfy those conditio...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012