5 results about "Artificial Ants" patented technology

The application provides a method and system for optimizing SNP interaction selection precision based on an ant colony algorithm, and the method comprises the following steps: each artificial ant selects an SNP interaction in a search space, all artificial ants are divided into several populations, and an adaptive function is allocated to each population, and the adaptive function is used to evaluate the correlation between the SNP interaction and a disease phenotype; an information matrix is updated by using any pheromone updating strategy; in each iteration process of the ant colony algorithm, a self-learning mechanism is set by taking the maximum cumulative reward of the ants as a target, and the pheromone updating strategy is changed through the self-learning mechanism. Based on the method, a system for optimizing SNP interaction selection precision based on the ant colony algorithm is also provided. The application is used for accurately selecting SNP interactions related to a disease phenotype, several different path selection strategies are designed, and the path selection strategy which can bring the maximum selection ability to the algorithm is adaptively selected in the search process of the algorithm based on reinforcement learning.

Systems and methods are disclosed for optimizing database join operations in large-scale relational databases using an integrated framework of quantum annealing, swarm intelligence, and genetic algorithms. The system employs quantum annealing to learn data distribution patterns, normalizing and transforming data to identify optimal join strategies and correlations across tables. Swarm intelligence predicts access patterns by deploying artificial ants to navigate data blocks, converging on high-relevance areas for prefetching. Genetic algorithms estimate join selectivity, calculating expected record counts to allocate resources efficiently. Learned index structures, dynamically created and tuned based on identified patterns, enhance retrieval speed with minimal storage. Additional features include learned Bloom filters for accurate join candidate selection, predictive page loading to reduce I / O wait times, and join order optimization to minimize intermediate result sizes. This modular, adaptive approach ensures rapid, resource-efficient query responses across diverse applications, such as banking and e-commerce.

The utility model discloses a termite medicament trapping and killing isolation belt for termite prevention, which relates to the technical field of termite prevention and comprises a ground and a dam, and a blocking component for blocking termites is arranged on the top of the ground and positioned on one side of the dam. A suction assembly for sucking termites is arranged at the top, located on the ground, of one side of the blocking assembly; the blocking assembly comprises a water storage pool arranged on the top and located on one side of the ground. The attraction assembly comprises a separation plate mounted at the top of the ground, and an artificial ant cave is formed in one side of the separation plate; according to the termite killing device, termites are attracted into an artificial termite cave through the termite inducing lamp, infected through infectious poison and spread through the antenna of the termites, the function of killing the termites is achieved, the termites which do not enter the artificial termite cave are blocked through the isolation plate and the water storage pool, and the situation that the termites nest in a dam is effectively avoided.

The invention provides a public opinion big data parallel intelligent deduction method and system based on ant colony collaborative inspiration, and the method comprises the steps: collecting public opinion big data; the public opinion big data comprises public opinion positive guide data, public opinion negative influence data, public opinion propagation speed data, public opinion propagation range data, public opinion crisis solution condition data and public opinion big data model parameter data; data cleaning is conducted on the public opinion big data, then single entities of the public opinion big data are represented as individuals of the artificial ant colony in a formalized mode according to the features of the entities, and existing public opinion big data and evolved public opinion big data are represented as a set composed of the individuals of the artificial ant colony in a formalized mode; a mechanism of ant colony cooperative communication, target search and division cooperation is simulated, a process and an algorithm for intelligently deducing public opinion situation evolution in parallel by a plurality of individuals are designed according to characteristics of public opinion big data, and the individuals communicate and cooperate with each other and assist and substitute each other; an iteration process of batch production of ants after ant is simulated, a mechanism of automatic generation, damage monitoring and intelligent regeneration of public opinion big data intelligent deduction individuals is constructed, an organism of public opinion big data intelligent evolution is formed, public opinion negative effects are guided to be minimized, and then public opinion positive guidance is maximized.

The application discloses a kind of based on BP neural network tunnel mechanization construction equipment intelligent selection method, it is related to tunnel construction technical field.The method includes: determining the input layer and output layer parameters of BP neural network;Sample data is obtained from actual engineering, numerical calculation and model test and is preprocessed;BP neural network is constructed and training and testing are completed, input the tunnel construction working condition parameter of being built into trained BP neural network, predict maximum construction safety step distance and calculate effective operation section size;Establish tunnel mechanization construction equipment parameter database and make discrete index table;The ant colony algorithm selection optimization model with the lowest total initial investment cost as single target is constructed, path optimization is executed in database by simulating the probability transfer and pheromone positive feedback mechanism of artificial ant, and the optimal selection combination scheme is output.The application improves the scientific rationality of tunnel construction equipment selection.