E Pitzer, M Affenzeller - Recent advances in intelligent engineering …, 2012 - Springer
In the past, the notion of fitness landscapes has found widespread adoption. Many different methods have been developed that provide a general and abstract framework applicable to …
EH Houssein, AG Gad, K Hussain… - Swarm and Evolutionary …, 2021 - Elsevier
Over the ages, nature has constantly been a rich source of inspiration for science, with much still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …
It has long been observed that for practically any computational problem that has been intensely studied, different instances are best solved using different algorithms. This is …
J Lehman, KO Stanley - Evolutionary computation, 2011 - ieeexplore.ieee.org
In evolutionary computation, the fitness function normally measures progress toward an objective in the search space, effectively acting as an objective function. Through deception …
Perhaps surprisingly, it is possible to predict how long an algorithm will take to run on a previously unseen input, using machine learning techniques to build a model of the …
Ant System, the first Ant Colony Optimization algorithm, showed to be a viable method for attacking hard combinatorial optimization problems. Yet, its performance, when compared to …
M Dorigo, C Blum - Theoretical computer science, 2005 - Elsevier
Research on a new metaheuristic for optimization is often initially focused on proof-of- concept applications. It is only after experimental work has shown the practical interest of the …
The attributes of vehicle routing problems are additional characteristics or constraints that aim to better take into account the specificities of real applications. The variants thus formed …
The problem of complex adaptations is studied in two largely disconnected research traditions: evolutionary biology and evolutionary computer science. This paper summarizes …