
PAMUC
 Referenced in 8 articles
[sw02537]
 handle with constraints and multiobjectivity in evolutionary algorithms. Multiobjective optimization using evolutionary algorithms...

evtree
 Referenced in 7 articles
[sw14304]
 evtree: Evolutionary Learning of Globally Optimal Trees. Commonly used classification and regression tree methods like ... CART algorithm are recursive partitioning methods that build the model in a forward stepwise search ... global optimization methods like evolutionary algorithms. The evtree package implements an evolutionary algorithm for learning...

KaHIP
 Referenced in 7 articles
[sw19376]
 KaFFPaE (KaFFPaEvolutionary) which is a parallel evolutionary algorithm that uses KaFFPa to provide combine ... well as KaBaPE which extends the evolutionary algorithm. Moreover, specialized techniques are included to partition...

DEAP
 Referenced in 9 articles
[sw08467]
 DEAP: evolutionary algorithms made easy. DEAP is a novel evolutionary computation framework for rapid prototyping ... frameworks in that it seeks to make algorithms explicit and data structures transparent, as opposed...

METCO
 Referenced in 5 articles
[sw19036]
 best known multiobjective evolutionary algorithms. The pluginbased architecture of the framework minimizes ... incorporate their own problems and evolutionary algorithms, and facilitates tool maintenance. A wide variety ... cooperation of a set of evolutionary algorithms. The aim of the new model ... generality at which most current evolutionary algorithms operate. This way, a wider range of problems...

ITCEMOP
 Referenced in 6 articles
[sw02582]
 CEMOP: an iterative coevolutionary algorithm for multiobjective optimization problem with nonlinear constraints. Over ... have developed a number of multiobjective evolutionary algorithms (MOEAs). Although most studies concentrate on solving...

PUNCH
 Referenced in 6 articles
[sw02447]
 PUNCH: An evolutionary algorithm for optimizing bit set selection. Nearly every nucleotidebased computing problem ... present a program that uses an evolutionary algorithm to generate optimum bit sets using given...

DEMORS
 Referenced in 8 articles
[sw02773]
 DEMORS: A hybrid multiobjective optimization algorithm using differential evolution and rough set theory ... hybridization of a multiobjective evolutionary algorithm (MOEA) and a local search method based ... viable alternative to obtain a robust algorithm able to solve difficult constrained multiobjective optimization ... authors, in: Mike Cattolico (ed.): Genetic and Evolutionary Computation Conference, GECCO 2006, Proceedings, Seattle, Washington...

HEMO
 Referenced in 8 articles
[sw02403]
 capability of multiobjective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when ... fundamental cause of premature convergence in evolutionary search has led to proposing of a generic...

OPT4J
 Referenced in 6 articles
[sw07054]
 multiobjective) optimization algorithms such as evolutionary algorithms (including SPEA2 and NSGA2), differential evolution, particle ... goal of Opt4J is to simplify the evolutionary optimization of userdefined problems as well ... implementation of arbitrary metaheuristic optimization algorithms. For this purpose, Opt4J relies on a module...

GENLS
 Referenced in 5 articles
[sw02681]
 GENLS: Coevolutionary algorithm for nonlinear system of equations. We present a new optimization system ... constraints. Secondly, an efficient coevolutionary algorithm is implemented for solving the resulting NLP, which...

Borg
 Referenced in 7 articles
[sw08873]
 study introduces the Borg multiobjective evolutionary algorithm (MOEA) for manyobjective, multimodal optimization...

MOEAT
 Referenced in 3 articles
[sw09211]
 tool for multiobjective evolutionary algorithms. This paper introduces a software tool based on illustrative applications ... development, analysis and application of multiobjective evolutionary algorithms. The multiobjective evolutionary algorithms tool (MOEAT) written ... using a variety of multiobjective evolutionary algorithms (MOEAs) offers a powerful environment for various kinds ... performance measurements of wellknown multiobjective evolutionary algorithms in MOEAT are done using benchmark problems...

GAHC
 Referenced in 6 articles
[sw02734]
 This paper introduces a novel improved evolutionary algorithm, which combines genetic algorithms and hill climbing...

LOOPS
 Referenced in 6 articles
[sw01456]
 generalized networks. Learning is realized by evolutionary algorithms. Essential to the implementation of these concepts...

hABCDE
 Referenced in 4 articles
[sw14869]
 hABCDE: a hybrid evolutionary algorithm based on artificial bee colony algorithm and differential evolution. Artificial ... competitive with other population based algorithms. However, there is still an insufficiency in ABC regarding ... this paper presents a novel hybrid evolutionary algorithm named hABCDE, which integrates a modified...

NSPSO
 Referenced in 16 articles
[sw09598]
 highly competitive with existing evolutionary and PSO multiobjective algorithms...

EvAg
 Referenced in 3 articles
[sw29523]
 EvAg: a scalable peertopeer evolutionary algorithm. This paper studies the scalability ... Evolutionary Algorithm (EA) whose population is structured by means of a gossiping protocol and where ... evolutionary operators act exclusively within the local neighborhoods. This makes the algorithm inherently suited...

OMOEAII
 Referenced in 3 articles
[sw02993]
 efficient multiobjective evolutionary algorithm: OMOEAII An improved orthogonal multiobjective evolutionary algorithm (OMOEA...

emoa
 Referenced in 5 articles
[sw14382]
 package emoa: Evolutionary Multiobjective Optimization Algorithms. Collection of building blocks for the design and analysis ... evolutionary multiobjective optimization algorithms...