Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents the Incremental Breakout Algorithm with Variable Ordering (IncBA). This algorithm belongs to the class of local search algorithms for solving Constraint Satisfaction Problems (CSP), and is based on the standard breakout algorithm extended by an incremental solving scheme combined with variable ordering. By evaluating this algorithm with two large sets of Graph Colouring and Scheduling problems,  show that it outperforms the standard breakout method by requiring 10 1 -10 3 less constraint checks for solving under- and mediumconstrained problems. Since the proposed scheme is extremely simple, it can be easily applied to other local search methods. With regards to scheduling problems  show that the algorithm delivers solutions of better quality and thus has optimization properties.   formalize this algorithm, prove its correctness and describe the execution details in the form of pseudo code. At the end of the paper  summarize the results and draw our conclusions.
['Carlos Eisenberg', 'Boi Faltings']
I am writing a research paper on a idea Incremental Breakout Algorithm With Variable Ordering
[{"from": "human", "value": "I am writing a research paper on a idea Incremental Breakout Algorithm With Variable Ordering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents the Incremental Breakout Algorithm with Variable Ordering (IncBA). This algorithm belongs to the class of local search algorithms for solving Constraint Satisfaction Problems (CSP), and is based on the standard breakout algorithm extended by an incremental solving scheme combined with variable ordering. By evaluating this algorithm with two large sets of Graph Colouring and Scheduling problems,  show that it outperforms the standard breakout method by requiring 10 1 -10 3 less constraint checks for solving under- and mediumconstrained problems. Since the proposed scheme is extremely simple, it can be easily applied to other local search methods. With regards to scheduling problems  show that the algorithm delivers solutions of better quality and thus has optimization properties.   formalize this algorithm, prove its correctness and describe the execution details in the form of pseudo code. At the end of the paper  summarize the results and draw our conclusions."}]