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http://localhost:8080/xmlui/handle/123456789/146309| Title: | Human Pose Estimation with Implicit Shape Models |
| Authors: | Brauer, Jürgen |
| Issue Date: | 2019 |
| Publisher: | KIT Scientific Publishing |
| link: | https://mdpi.com/books/pdfview/book/1860 |
| Keywords: | Computer science;artificial bee colony algorithm (ABC);cloud model;normal cloud model;Y conditional cloud generator;global optimum;evolution;computation;urban design;biology;shape grammar;architecture;SPEA 2;energy-efficient job shop scheduling;dispatching rule;nonlinear convergence factor;mutation operation;whale optimization algorithm;particle swarm optimization;confidence term;random weight;benchmark functions;t-test;success rates;average iteration times;set-union knapsack problem;moth search algorithm;transfer function;discrete algorithm;evolutionary multi-objective optimization;convergence point;acceleration search;evolutionary computation;optimization;bat algorithm (BA);bat algorithm with multiple strategy coupling (mixBA);CEC2013 benchmarks;Wilcoxon test;Friedman test;facility layout design;single loop;monarch butterfly optimization;slicing tree structure;material handling path;integrated design;wireless sensor networks (WSNs);DV-Hop algorithm;multi-objective DV-Hop localization algorithm;NSGA-II-DV-Hop;first-arrival picking;fuzzy c-means;particle swarm optimization;range detection;minimum total dominating set;evolutionary algorithm;genetic algorithm;local search;constrained optimization problems (COPs);evolutionary algorithms (EAs);firefly algorithm (FA);stochastic ranking (SR);Artificial bee colony;swarm intelligence;elite strategy;dimension learning;global optimization;DE algorithm;?-Hilbert space;topology structure;quantum uncertainty property;numerical simulation;whale optimization algorithm;flexible job shop scheduling problem;nonlinear convergence factor;adaptive weight;variable neighborhood search;elephant herding optimization;EHO;swarm intelligence;individual updating strategy;large-scale;benchmark;diversity maintenance;particle swarm optimizer;entropy;large scale optimization;minimum load coloring;memetic algorithm;evolutionary;local search;particle swarm optimization;large-scale optimization;adaptive multi-swarm;diversity maintenance;deep learning;convolutional neural network;rock types;automatic identification;monarch butterfly optimization;greedy optimization algorithm;global position updating operator;0-1 knapsack problems |
| ISBN: | 9783731501848 |
| Theme: | 教科書-自然科學類 |
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