Evolutionary algorithms for dynamic optimization problems: workshop preface [PDF]
, 2005 Copyright @ 2005 ...
Branke, J, Yang, S
core +1 more source
Dissimilarity metric based on local neighboring information and genetic programming for data dissemination in vehicular ad hoc networks (VANETs) [PDF]
, 2018 This paper presents a novel dissimilarity metric based on local neighboring information and a genetic programming approach for efficient data dissemination in Vehicular Ad Hoc Networks (VANETs). The primary aim of the dissimilarity metric is to replace
Gutiérrez Reina, Daniel +3 more
core +1 more source
A constrained multi-objective surrogate-based optimization algorithm [PDF]
, 2014 Surrogate models or metamodels are widely used in the realm of engineering for design optimization to minimize the number of computationally expensive simulations.
Couckuyt, Ivo +3 more
core +1 more source
Fast Damage Recovery in Robotics with the T-Resilience Algorithm
, 2013 Damage recovery is critical for autonomous robots that need to operate for a long time without assistance. Most current methods are complex and costly because they require anticipating each potential damage in order to have a contingency plan ready.
Cully, Antoine +2 more
core +3 more sources
Multi-Objective Big Data Optimization with jMetal and Spark [PDF]
, 2017 Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster computing system for solving multi ...
A Cabanas-Abascal +11 more
core +1 more source
The influence of mutation on population dynamics in multiobjective genetic programming [PDF]
, 2010 Using multiobjective genetic programming with a complexity objective to overcome tree bloat is usually very successful but can sometimes lead to undesirable collapse of the population to all single-node trees.
Badran, K., Rockett, P.I.
core +1 more source
Multivariate Approaches to Classification in Extragalactic Astronomy [PDF]
, 2015 Clustering objects into synthetic groups is a natural activity of any science. Astrophysics is not an exception and is now facing a deluge of data. For galaxies, the one-century old Hubble classification and the Hubble tuning fork are still largely in ...
Chattopadhyay, Asis Kumar +2 more
core +3 more sources
Generative Artificial Intelligence in Urban Design: A Review of Recent Applications
Fengjing YuanlinObjectiveAs urban design faces increasing demands for contextual responsiveness, iterative optimization, and data-informed reasoning, integrating artificial intelligence into the design process has gained renewed relevance.
Qiyuan HONG, Junhao XIA, Ying LONG
doaj +1 more source
Multitask Evolution with Cartesian Genetic Programming
, 2017 We introduce a genetic programming method for solving multiple Boolean circuit synthesis tasks simultaneously. This allows us to solve a set of elementary logic functions twice as easily as with a direct, single-task approach.Comment: 2 ...
Caruana Rich +2 more
core +1 more source
Handling boundary constraints for particle swarm optimization in high-dimensional search space [PDF]
, 2011 Despite the fact that the popular particle swarm optimizer (PSO) is currently being extensively applied to many real-world problems that often have high-dimensional and complex fitness landscapes, the effects of boundary constraints on PSO have not ...
Chu, W, Gao, X, Sorooshian, S
core +2 more sources