In this article, an affine scaling interior trust-region algorithm which employs backtracking line search with filter technique is presented for solving nonlinear equality constrained programming with nonnegative constraints on variables. At current iteration, the general full affine scaling trust-region ...
Some previous works have attempted to solve the region filling problem. Cao’s algorithm [8] introduces the idea of using a well structured pattern to fill a region. Lumesky’s spread seeder algorithm for terrain acquisition [6] can be adapted to fill a region, but it can generate very in...
A heuristic algorithm for master planning that satisfies multiple objectives MOMPA plans each demand, one by one, without backtracking, and sorts those demands using a sorting mechanism that is part of the algorithm. For each ... CC Chern,JS Hsieh - 《Computers & Operations Research》 被引量...
Typical backtrackingalgorithm problem One, ticket issue 2 n people line up to buy acommodity price is 0.5 yuan, half of them took a piece of 1 RMB, the otherpeople take a 0.5 yuan yuan, to make the salesman in the sales, don't changedifficulties occur, ask how the 2 n individual sho...
The simplicity of BSA allows the robot to work properly with low sensorial and computational demands. The generated paths can be easily executed by a differential drive platform, making BSA suitable for building low cost robots. BSA is an on-line algorithm, it builds incrementally a very simple...
Recall that a backtracking algorithm moves either forward or backward in the search space. Suppose that the current variable is xi and that xp is the earliest variable in the ordering whose value has changed since the last visit to xi. Clearly, any testing of constraints whose scope includes ...
1. Algorithm Backtrack (k) 2. // this scheme describes the backtracking process using 3. // recursion. On entering, the first k-1 values. 4. // x [1], x [2]… x [k-1] of the solution vector. 5. // x [1:n] have been assigned. X [] and n are global. 6. { 7. Fo...
Beam-Stack Search: Integrating Backtracking with Beam Search We describe a method for transforming beam search into a complete search algorithm that is guaranteed to find an optimal solution. Called beam-stack search, the algorithm uses a new data structure, called a beam stack, that makes it ...
We describe a method for transforming beam search into a complete search algorithm that is guaranteed to find an optimal solution. Called beam-stack search, the algorithm uses a new data structure, called a beam stack, that makes it possible to integrate systematic backtracking with beam search....
The vertical line is the best estimate for ar and the shaded region is the statistical error on this estimate. For each instance, the algorithm has been run once; on instances not solved on the first run, a second run rarely (o1%) finds a solution. The plot shows that the backtracking...