This technique initially proposed in the first approaches related to landmarks in classical planning has been outperformed by landmark-based heuristics and has not been paid much attention over the last years. We believe that it is still a promising research direction, particularly for devising ...
The logic AND operation is a basic ingredient for designing both classical and quantum algorithms. Unfortunately, it cannot be directly implemented on qubits because of the reversibility of quantum operations. One workaround is to extract it from a Toffoli gate at the cost of an extra qubit6. ...
A 'Placement Algorithm' in Computer Science refers to an algorithm that determines the optimal location for storing or distributing content to achieve a balance between content hit ratio and storage/communication costs. AI generated definition based on: Internet of Things, 2021 ...
Classical AI planners provide solutions to planning problems in the form of long and opaque text outputs. To aid in the generalization of planning solutions, it is necessary to have a rich and comprehensible representation for both human... A Aguinaldo,W Regli 被引量: 0发表: 2021年 Microwave...
described inSection 2. Then, inSection 3both pipelining and bus planning are presented as test problems, whose main features are pointed out before the discussion of some computational results, which are given inSection 4. Finally, some conclusions and hints for future work are summarized in...
With the rapid advancement of drone technology and the growing applications in the field of drone engineering, the demand for precise and efficient path planning in complex and dynamic environments has become increasingly important. Traditional algorithm
Combinatorial Interaction Testing (CIT) approaches have drawn attention of the software testing community to generate sets of smaller, efficient, and effective test cases where they have been successful in detecting faults due to the interaction of sever
To demonstrate the algorithm's efficiency in cloud computing task scheduling, the ant colony algorithm (ACO), particle swarm optimization (PSO), and whale optimization algorithm (WOA) were chosen from the classical algorithms and compared with the algorithm proposed herein for cloud computing task sch...
The bilevel programming (BLP) on the other hand is developed for decentralized planning systems in which the first level is termed as the leader and the second level pertains to the objective of the follower. In the BLP problem, each decision maker tries to optimize its own objective function...
A similar argument holds true for all subsequent steps, because all the activity takes place in a subspace that is orthogonal to all the inactive columns of X. In the more general case, where X is not orthonormal, we can still use the correlation as a measure that quantifies geometric ...