A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems
Complexity, 2021 Bound-constrained optimization has wide applications in science and engineering. In the last two decades, various evolutionary algorithms (EAs) were developed under the umbrella of evolutionary computation for solving various bound-constrained benchmark ...
Wali Khan Mashwani +4 more
doaj +1 more source
Complex System Modeling and Simulation, 2023 Portfolio optimization is a classical and important problem in the field of asset management, which aims to achieve a trade-off between profit and risk.
Feng Wang, Zilu Huang, Shuwen Wang
doaj +1 more source
Evolutionary algorithms and dynamic programming [PDF]
Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009 Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled by evolutionary algorithms that use a representation which enables them to construct solutions in a dynamic programming fashion.
Doerr, B. +4 more
openaire +4 more sources
An Experimental Study on Competitive Coevolution of MLP Classifiers
Mendel, 2017 This paper investigates the effectiveness and efficiency of two competitive (predator-prey) evolutionary procedures for training multi-layer perceptron classifiers: Co-Adaptive Neural Network Training, and a modified version of Co-Evolutionary Neural ...
Marco Castellani, Rahul Lalchandani
doaj +1 more source
Evolutionary techniques in lattice sieving algorithms [PDF]
11th International Conference on Evolutionary Computation Theory
and Applications (ECTA), pp. 31-39, 2019, 2019 Lattice-based cryptography has recently emerged as a prominent candidate for secure communication in the quantum age. Its security relies on the hardness of certain lattice problems, and the inability of known lattice algorithms, such as lattice sieving, to solve these problems efficiently.
arxiv +1 more source
Hybridation of Bayesian networks and evolutionary algorithms for multi-objective optimization in an integrated product design and project management context [PDF]
, 2010 A better integration of preliminary product design and project management processes at early steps of system design is nowadays a key industrial issue.
Baron, Claude +3 more
core +3 more sources
An island based hybrid evolutionary algorithm for optimization [PDF]
, 2008 This is a post-print version of the article - Copyright @ 2008 Springer-VerlagEvolutionary computation has become an important problem solving methodology among the set of search and optimization techniques. Recently, more and more different evolutionary
C. Li +9 more
core +1 more source
The Self-Organization of Interaction Networks for Nature-Inspired Optimization
, 2009 Over the last decade, significant progress has been made in understanding complex biological systems, however there have been few attempts at incorporating this knowledge into nature inspired optimization algorithms.
Pham, Q. Tuan +2 more
core +1 more source
Noisy Optimization: Convergence with a Fixed Number of Resamplings [PDF]
, 2014 It is known that evolution strategies in continuous domains might not converge in the presence of noise. It is also known that, under mild assumptions, and using an increasing number of resamplings, one can mitigate the effect of additive noise and ...
A Auger +8 more
core +3 more sources
Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem [PDF]
arXiv, 2022 Recently different evolutionary computation approaches have been developed that generate sets of high quality diverse solutions for a given optimisation problem. Many studies have considered diversity 1) as a mean to explore niches in behavioural space (quality diversity) or 2) to increase the structural differences of solutions (evolutionary diversity
arxiv