Please wait, while we are loading the content...
| Content Provider | Taylor & Francis Online |
|---|---|
| Author | Ahmed, Zakir Hussain Alexandridis, Alex |
| Abstract | Lexisearch and genetic algorithms are two different types of methods for solving combinatorial optimization problems. Lexisearch algorithm gives us exact optimal solution, whereas, genetic algorithms give heuristic solution to a problem. In this paper, a hybrid algorithm (LSGA) that combines lexisearch and genetic algorithms is developed to obtain heuristic solution to the quadratic assignment problem. The proposed algorithm uses lexisearch algorithm to generate initial population, self-adaptively three crossover operators, and randomly one of four mutation operators, restricted combined mutation operator as local search, and multi-parent sequential constructive crossover as immigration method. The self-adaptive crossover operator that consists of one-point crossover, swap path crossover and sequential constructive crossover can produce better solutions. Also, the random selection of a mutation operator effectively prevents LSGA from being stuck in local optimal zone. Further, the immigration method with combined mutation effectively generated very good chromosomes, which promotes the convergence rate and accuracy of the solution. Experimental results on four categories of benchmark QAPLIB instances show the effectiveness of the LSGA. Out of 35 instances 18 instances have been solved optimally, and for the remaining instances, solutions are very close to the optima. Finally, a comparative study has been carried out between LSGA and unified particle swarm optimization (UPSO) for the same instances. In terms of solution quality, LSGA outperformed UPSO for all category of instances. Also, in terms of computational time, except for seven instances, LSGA outperformed UPSO. |
| File Format | PDF HTM / HTML |
| Journal | Cogent Engineering |
| Volume Number | 5 |
| Issue Number | 1 |
| Language | English |
| Publisher | Cogent |
| Publisher Date | 2018-01-16 |
| Access Restriction | Open |
| Subject Keyword | Quadratic assignment problem Hybrid algorithm Lexisearch algorithm Genetic algorithm Multi-parent crossover Sequential constructive crossover Adaptive mutation |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|