2018-10-18T11:35:17Z
http://ijo.iaurasht.ac.ir/?_action=export&rf=summon&issue=110642
Iranian Journal of Optimization
IJO
2588-5723
2588-5723
2010
02
1
WELL- POSEDNESS OF THE ROTHE DIFFERENCE SCHEME FOR REVERSE PARABOLIC EQUATIONS
Allaberen
Ashyralyev
Ayfer
Dural
Yaşar
Sözen
2009
04
01
107
131
http://ijo.iaurasht.ac.ir/article_513242_b696c46c223d5893189894ebd386e2a2.pdf
Iranian Journal of Optimization
IJO
2588-5723
2588-5723
2010
02
1
A NOTE ON THE AVERAGING METHOD FOR DIFFERENTIAL EQUATIONS WITH MAXIMA
Victor
Plotnikov
Olga
Kichmarenko
Substantiation of the averaging method for differential equations with maxima is presented. Two theorems on substantiates for differential equations with maxima are established.
averaging method
DIFFERENTIAL EQUATIONS WITH DELAY
DIFFERENTIAL EQUATIONS WITH MAXIMA
AUTOMATIC REGULATION
2009
07
01
132
140
http://ijo.iaurasht.ac.ir/article_513243_5f3c8ae8ea9dc142b1dc6d4d96b4a7fb.pdf
Iranian Journal of Optimization
IJO
2588-5723
2588-5723
2010
02
1
COMPARING NUMERICAL METHODS FOR THE SOLUTION OF THE DAMPED FORCED OSCILLATOR PROBLEM
A. R.
Vahidi
GH.
Asadi Cordshooli
Z.
Azimzadeh
In this paper, we present a comparative study between the Adomian decomposition method and two classical well-known Runge-Kutta and central difference methods for the solution of damped forced oscillator problem. We show that the Adomian decomposition method for this problem gives more accurate approximations relative to other numerical methods and is easier to apply.
Adomian decomposition method
Differential equation
damped forced oscillator
2009
07
01
141
150
http://ijo.iaurasht.ac.ir/article_513244_30c8e012f97a5925f518417591ecc74f.pdf
Iranian Journal of Optimization
IJO
2588-5723
2588-5723
2010
02
1
INTEGRATING CASE-BASED REASONING, KNOWLEDGE-BASED APPROACH AND TSP ALGORITHM FOR MINIMUM TOUR FINDING
Hossein
Erfani
Imagine you have traveled to an unfamiliar city. Before you start your daily tour around the city, you need to know a good route. In Network Theory (NT), this is the traveling salesman problem (TSP). A dynamic programming algorithm is often used for solving this problem. However, when the road network of the city is very complicated and dense, which is usually the case, it will take too long for the algorithm to find the shortest path. Furthermore, in reality, things are not as simple as those stated in AT. For instance, the cost of travel for the same part of the city at different times may not be the same. In this project, we have integrated TSP algorithm with AI knowledge-based approach and case-based reasoning in solving the problem. With this integration, knowledge about the geographical information and past cases are used to help TSP algorithm in finding a solution. This approach dramatically reduces the computation time required for minimum tour finding.
CASE-BASED REASONING
KNOWLEDGE-BASED APPROACH
Traveling salesman problem
CASE-BASED TOUR FINDER
KNOWLEDGE-BASED ROUTE FINDER
Geographical Information
2009
07
01
151
161
http://ijo.iaurasht.ac.ir/article_513245_3c4d2bff5986f79d2b7094d0cd0a9317.pdf