#### Filter Results:

- Full text PDF available (4)

#### Publication Year

2003

2004

- This year (0)
- Last 5 years (0)
- Last 10 years (0)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

Traveling Salesman Problem (TSP) is an NP-hard Problem, which has many different real life applications. Genetic Algorithms (GA) are robust and probabilistic search algorithms based on the mechanics of natural selection and survival of the fittest that is used to solve optimization and many real life problems. This paper presents Genetic Algorithm for TSP.… (More)

- Ketan Kotecha, Gopi Sanghani, Nilesh Gambhava
- AACC
- 2004

- Ketan Kotecha, Nilesh Gambhava
- IICAI
- 2003

Minimum vertex cover problem (MVCP) is an NP-hard problem and it has numerous real life applications. This paper presents hybrid genetic algorithm (HGA) to solve MVCP efficiently. In this paper we have demonstrated that when local optimization technique is added to genetic algorithm to form HGA, it gives near to optimal solution speedy. We have developed… (More)

The scheduling of examinations in universities or institutions is known to be a highly constrained combinatorial optimization problem. Generally it is done manually or with the limited help of a simple administration system and it usually involves, taking the previous year's timetable and modifying that so it will work for the next year. But now a days most… (More)

- Dr. K Kotecha, Nilesh Gambhava
- 2003

Traveling Salesman Problem (TSP) is an NP-hard Problem, which has so many different real life applications. Precedence Constraint TSP (PCTSP) is one specific type of TSP in which precedence is given to some cities. PCTSP also has numerous applications. Genetic Algorithms [1] are robust and probabilistic search algorithms based on the mechanics of natural… (More)

- ‹
- 1
- ›