نتایج جستجو برای: ant lion optimization
تعداد نتایج: 333115 فیلتر نتایج به سال:
In order to examine the influence exerted by an irrelevant semantic variable in a comparative judgment task, we employed a Stroop-like paradigm. The stimuli were pairs of animal names that were different in their physical and semantic sizes (e.g., ant lion). Participants were asked to judge which of the two words was larger either in physical or in semantic size. Size congruity effect (i.e., fa...
The coronavirus disease of 2019 (COVID-19), a unique Coronavirus strain, has created chaotic situation, negatively impacting the number deaths and people's lives globally. daily increase in COVID-19 instances is due to lack restricted availability detection techniques for determining disease's presence. Therefore, detecting positive results as soon feasible important preventing spread this epid...
In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method. Getting optimal network coverage is one of those challenging that need be examined critically before any setup. Optimal not only minimizes consumption energy battery-driven sensors but also reduce sensing redundant info...
Aim Geographic variation in body size and heterozygosity were surveyed for discrete populations of the ant lion, Myrmeleon immaculatus DeGeer, collected from the central and northeastern United States. Location Collection sites were located in the central and eastern United States ranging from western Oklahoma to northern New York. Methods We collected 872 M. immaculatus larvae from thirty-four...
-The ant colony optimization takes insipiration from the foraging behavior of some ant species.These ants deposits pheromone on the ground in order to make some suitable path that should be followed by other members of the colony.The goal of this paper is to introduce ant colony optimization and to survey its most notable applications.In this paper we focus on some research efforts directed at ...
Ant colony optimization is a metaheuristic approach belonging to the model based search algorithm. It is a paradigm for designing metaheuristic algorithm for combinatorial problem. In this paper we discuss the Ant colony system. Ant colony system is one of the best algorithm of ant colony optimization. First we discuss the optimization,and one of the optimization problem is combinatiorial probl...
Sentiment analysis and classification task is used in recommender systems to analyze movie reviews, tweets, Facebook posts, online product blogs, discussion forums, comments social networks. Usually, the performed using supervised machine learning methods such as support vector (SVM) classifier, which have many distinct parameters. The selection of values for these parameters can greatly influe...
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