Evolutionary Computation

• Main Authors: Alavi, Amir, Wang, Gai-Ge
• Format: eBook
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Subjects: 0-1 knapsack problems; acceleration search; adaptive multi-swarm; adaptive weight; architecture; Artificial bee colony; artificial bee colony algorithm (ABC); automatic identification; average iteration times; bat algorithm (BA); bat algorithm with multiple strategy coupling (mixBA); benchmark; benchmark functions; biology; CEC2013 benchmarks; cloud model; computation; confidence term; constrained optimization problems (COPs); convergence point; convolutional neural network; DE algorithm; deep learning; dimension learning; discrete algorithm; dispatching rule; diversity maintenance; DV-Hop algorithm; EHO; elephant herding optimization; elite strategy; energy-efficient job shop scheduling; entropy; evolution; evolutionary; evolutionary algorithm; evolutionary algorithms (EAs); evolutionary computation; evolutionary multi-objective optimization; facility layout design; firefly algorithm (FA); first-arrival picking; flexible job shop scheduling problem; Friedman test; fuzzy c-means; genetic algorithm; global optimization; global optimum; global position updating operator; greedy optimization algorithm; Hilbert space; History of engineering and technology; individual updating strategy; integrated design; large scale optimization; large-scale; local search; material handling path; memetic algorithm; minimum load coloring; minimum total dominating set; monarch butterfly optimization; moth search algorithm; multi-objective DV-Hop localization algorithm; mutation operation; nonlinear convergence factor; normal cloud model; NSGA-II-DV-Hop; numerical simulation; optimization; particle swarm optimization; particle swarm optimizer; quantum uncertainty property; random weight; range detection; rock types; set-union knapsack problem; shape grammar; single loop; slicing tree structure; SPEA 2; stochastic ranking (SR); success rates; swarm intelligence; t-test; T1-995; TA1-2040; Technology, Engineering, Agriculture, Industrial processes; Technology: general issues; topology structure; transfer function; urban design; variable neighborhood search; whale optimization algorithm; Wilcoxon test; wireless sensor networks (WSNs); Y conditional cloud generator
• ISBN: 9783039219285; 3039219294; 9783039219292; 3039219286
• DOI: 10.3390/books978-3-03921-929-2

Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism,