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Pattern and timing of diversification of Cetartiodactyla (Mammalia, Laurasiatheria), as revealed by a comprehensive analysis of mitochondrial genomes.
TLDR
The results indicate that the evolutionary history of cetartiodactyls was punctuated by four main phases of rapid radiation during the Cenozoic era, and shows that the high species diversity now observed in the families Bovidae and Cervidae accumulated mainly during the Late Miocene and Plio-Pleistocene. Expand
Evolutionary dynamic optimization: A survey of the state of the art
TLDR
An in-depth survey of the state-of-the-art of academic research in the field of EDO and other meta-heuristics in four areas: benchmark problems/generators, performance measures, algorithmic approaches, and theoretical studies is carried out. Expand
Benchmark Generator for CEC'2009 Competition on Dynamic Optimization
TLDR
This paper presents a meta-modelling system that automates the very labor-intensive and therefore time-heavy and expensive and therefore expensive and expensive process of computer programming called “seed-to-solution programming”. Expand
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems
TLDR
A novel algorithm, called self-learning particle swarm optimizer (SLPSO), for global optimization problems, which can enable a particle to choose the optimal strategy according to its own local fitness landscape. Expand
Continuous Dynamic Constrained Optimization—The Challenges
TLDR
This paper presents some investigations on the characteristics that might make DCOPs difficult to solve by some existing dynamic optimization (DO) and constraint handling (CH) algorithms and introduces a set of benchmark problems with these characteristics and test several representative DO and CH strategies. Expand
Continuous dynamic optimisation using evolutionary algorithms
TLDR
This thesis helps to characterise DOPs better by providing a new definition framework, two new sets of benchmark problems (for certain classes ofContinuous dynamic constrained optimisation problems) and several new set of performance measures. Expand
Bit-Interleaved Coded Modulation with Mismatched Decoding Metrics
TLDR
It is shown that level-dependent scaling of logarithmic bit metrics can improve the BICM GMI and a uniform metric scaling which can lead to an improved performance of mismatched sum-product symbol-by-symbol decoding, even if the GMI is not changed. Expand
The culture-based fisheries in small, farmer-managed reservoirs in two Provinces of northern Vietnam: an evaluation based on three production cycles
TLDR
There was no apparent consistent trend in the improvement of yields from the culture-based fishery practice throughout the growth cycles, and the highest returns were obtained with mrigal and bighead carp, which collectively contributed > 50% to the harvest. Expand
Quantification, serovars, and antibiotic resistance of salmonella isolated from retail raw chicken meat in Vietnam.
TLDR
The data revealed that, whereas Salmonella prevalence on raw poultry was high, counts were low, which suggests that the exposure risk to Salmonellosis is low, however, improper storage of raw chicken meat and cross-contamination may increaseSalmonella cell counts and pose a greater risk for infection. Expand
Benchmarking and solving dynamic constrained problems
TLDR
This paper investigates the characteristics that might make a dynamic constrained problems difficult to solve by existing dynamic optimization algorithms and introduces a set of numerical dynamic benchmark problems with these characteristics, and proposes a new algorithm to improve the performance of current dynamic optimization methods in solving numericalynamic constrained problems. Expand
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