1999/09/03 by S. Mohanty, Mohanty, S., R. N. Behera +2
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.8 #Neural Networks and Applications #Parallel Computing and Optimization Techniques #cs.AI
paper · pdf · doi:10.48550/arxiv.cs/9909003
39 html pages + 4 gif files (fig1,fig1(a),fig2,fig3)
arxiv created 1999/09/03 · openalex publication_date 1999/09/03 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In tree search problem the best-first search algorithm needs too much of space . To remove such drawbacks of these algorithms the IDA* was developed which is both space and time cost efficient. But again IDA* can give an optimal solution for real valued problems like Flow shop scheduling, Travelling Salesman and 0/1 Knapsack due to their real valued cost estimates. Thus further modifications are done on it and the Iterative Deepening Branch and Bound Search Algorithms is developed which meets the requirements. We have tried using this algorithm for the Flow Shop Scheduling Problem and have found that it is quite effective.