Introductory overview: Optimization using evolutionary algorithms and other metaheuristics
Environmental models are used extensively to evaluate the effectiveness of a range of
design, planning, operational, management and policy options. However, the number of …
design, planning, operational, management and policy options. However, the number of …
A survey on online judge systems and their applications
Online judges are systems designed for the reliable evaluation of algorithm source code
submitted by users, which is next compiled and tested in a homogeneous environment …
submitted by users, which is next compiled and tested in a homogeneous environment …
Bio-inspired computation: Where we stand and what's next
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
[HTML][HTML] A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
Bio-inspired optimization (including Evolutionary Computation and Swarm Intelligence) is a
growing research topic with many competitive bio-inspired algorithms being proposed every …
growing research topic with many competitive bio-inspired algorithms being proposed every …
[HTML][HTML] Metaphor-based metaheuristics, a call for action: the elephant in the room
Taking inspiration from natural behaviors to devise new optimization algorithms has played
an important role in the history of the field of metaheuristics (Sörensen et al. 2017) …
an important role in the history of the field of metaheuristics (Sörensen et al. 2017) …
[HTML][HTML] Metaheuristics “in the large”
Following decades of sustained improvement, metaheuristics are one of the great success
stories of optimization research. However, in order for research in metaheuristics to avoid …
stories of optimization research. However, in order for research in metaheuristics to avoid …
[HTML][HTML] Classifying Metaheuristics: Towards a unified multi-level classification system
Metaheuristics provide the means to approximately solve complex optimisation problems
when exact optimisers cannot be utilised. This led to an explosion in the number of novel …
when exact optimisers cannot be utilised. This led to an explosion in the number of novel …
Similarity in metaheuristics: A gentle step towards a comparison methodology
Metaheuristics are found to be efficient in different applications where the use of exact
algorithms becomes short-handed. In the last decade, many of these algorithms have been …
algorithms becomes short-handed. In the last decade, many of these algorithms have been …
[图书][B] Behavioral program synthesis with genetic programming
K Krawiec - 2016 - Springer
Behavioral Program Synthesis with Genetic Programming Page 1 Studies in Computational
Intelligence 618 Krzysztof Krawiec Behavioral Program Synthesis with Genetic Programming …
Intelligence 618 Krzysztof Krawiec Behavioral Program Synthesis with Genetic Programming …
An analysis of the search mechanisms of the bees algorithm
Abstract The Bees Algorithm has been successfully applied for over a decade to a large
number of optimisation problems. However, a mathematical analysis of its search …
number of optimisation problems. However, a mathematical analysis of its search …