The paper presents experience of solving a complex real-life problem from the area of dynamic logistics. Different approaches to solving the problem are presented including usage of a constraint solver, linearization of the problem for its faster solving and development of an algorithm for finding ...
Table 10 presents various optimization approaches used in the surveyed works for solving static optimization problems. The most usual one is the ILP modeling, which is discussed in more detail below. Also simple greedy algorithms are quite frequently used. The least popular are meteheuristics, which...
The final stage of solving the problem is to translate it back into the original setting – the answer is: ‘there are 5 people in the room in total'. Assumptions were used to solve this problem. We assumed that no one else came in or left the room in the meantime and we made gener...
A series of metaheuristic algorithms have been proposed in recent years by using various innovative approaches. For instance, Lin et al.7 proposed a novel artificial bee colony algorithm (ABCLGII) in 2018 and compared ABCLGII with other outstanding ABC variants on 52 frequently used test function...
Task-oriented models model activities that have to be performed to solve a design problem—tasks—and how they have to be performed—task structure and the problem solving methods that can be used to perform them. This work aims to integrate the problem-oriented and task-oriented approaches to...
Some companies are also adopting new approaches to train their LLMs. For example, in May 2023, OpenAI announced that it had trained its LLMs to improve their mathematical problem-solving ability by rewarding the models for each correct step in reasoning toward the correct answer instead of just...
There’s no established approaches to build such guardrails into generative AI, nor are there anypublic tools or databases that users can consultto establish copyright infringement. Even if tools like these were available, they could put an excessive burden onboth users and content providers. ...
Why is it that our progress toward solving hard AI problems slows down as soon as we enter the realm of edge cases? The answer has to do with the reach of explanations. Share But it doesn’t yet explain, however, why the long tail, in particular, is often so problematic. Why is it...
The first issue is the tendency to neglect rational problem-solving approaches to difficulties in favor of impulsive, reflexive, and short-term ones Problem-solving ensures that they slow down and challenge these instinctive patterns with more deliberate ones. The second issue is related to ...
If G is positive definite, then all of the methods previously discussed for solving the equality-constrained QP may be used to solve this QP subproblem. Note that since the constraints are aiTs=0, we remain feasible among the constraints in Wk as we move along the step sk. However, we ...