improving the planning solution quality by replanning
... Sm can be defined as follows: Definition 3: (Sm) Given a plan with
intermediary states, and a state Sr and the vb value, a Sm
state is a state Si, with i
and less than vb. The R ...
... Sm can be defined as follows: Definition 3: (Sm) Given a plan with
Heuristics for Planning with SAT
... found in the same way. This principle is easy to implement: start from a goal (or a subgoal), go backwards step by step until a time point in which the goal is false, and choose any of the actions that achieve the goal and are possible at that time point. If such an action existed in the plan alread ...
... found in the same way. This principle is easy to implement: start from a goal (or a subgoal), go backwards step by step until a time point in which the goal is false, and choose any of the actions that achieve the goal and are possible at that time point. If such an action existed in the plan alread ...
Aligning two sequences within a specified diagonal band
... requirement to ‘‘start at the beginning, end at the end’’ is reflected in the L ≤ min(0, N − M) and U ≥ max(0, N − M) constraints. ‘‘Local’’ sequence alignments do not require that the beginning and end of the alignment correspond to the beginning and end of the sequence (i.e., the aligned sequences ...
... requirement to ‘‘start at the beginning, end at the end’’ is reflected in the L ≤ min(0, N − M) and U ≥ max(0, N − M) constraints. ‘‘Local’’ sequence alignments do not require that the beginning and end of the alignment correspond to the beginning and end of the sequence (i.e., the aligned sequences ...
Essential Thinking. Introduction to Problem Solving
... or educational institution with its own policy regarding student conduct or an "honor code," those terms shall apply to any such Student. Additionally, unless the following conflicts with such a policy or honor code, a Student of the Online Course agrees that he or she: will not harass other Student ...
... or educational institution with its own policy regarding student conduct or an "honor code," those terms shall apply to any such Student. Additionally, unless the following conflicts with such a policy or honor code, a Student of the Online Course agrees that he or she: will not harass other Student ...
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... lewisii and the closely related selfer Mimulus parishii to determine the genetic basis of divergence in floral traits and flowering time associated with mating-system evolution, and to characterize hybrid anther sterility. We found a moderately polygenic and highly directional basis for floral siz ...
... lewisii and the closely related selfer Mimulus parishii to determine the genetic basis of divergence in floral traits and flowering time associated with mating-system evolution, and to characterize hybrid anther sterility. We found a moderately polygenic and highly directional basis for floral siz ...
Hybrid intelligent systems in petroleum reservoir characterization
... machine learning theory that studies the combination of two or more CI techniques to cooperatively work together to form a single functional entity for better performance (Tsakonas and Dounias 2002; Guan et al. 2003). This process of combining the strengths to overcoming the effects of the weaknesse ...
... machine learning theory that studies the combination of two or more CI techniques to cooperatively work together to form a single functional entity for better performance (Tsakonas and Dounias 2002; Guan et al. 2003). This process of combining the strengths to overcoming the effects of the weaknesse ...
Subspace Memory Clustering
... dimension of each component. Moreover, these algorithms require similar parameters: number of clusters and their joint dimension (ORCLUS) or total number of parameters (SuMC). The difference between these methods is that ORCLUS divides a dataset into given number of clusters of the same dimensions, ...
... dimension of each component. Moreover, these algorithms require similar parameters: number of clusters and their joint dimension (ORCLUS) or total number of parameters (SuMC). The difference between these methods is that ORCLUS divides a dataset into given number of clusters of the same dimensions, ...
1 managing long linked lists using lock free techniques
... operations in the log, are updated and then finally added to the log itself. Check-pointing the log is used to decrease the cost of state reconstruction. (Herlihy et al, 1987) also proposed a method for constructing non-blocking data structures using “copying”. Utilizing the ‘Load Linked’ (LL) instr ...
... operations in the log, are updated and then finally added to the log itself. Check-pointing the log is used to decrease the cost of state reconstruction. (Herlihy et al, 1987) also proposed a method for constructing non-blocking data structures using “copying”. Utilizing the ‘Load Linked’ (LL) instr ...
Genetic algorithm
In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.