[图书][B] Evolutionary algorithms for solving multi-objective problems
CAC Coello - 2007 - Springer
Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …
solution has been a challenge to researchers for a long time. Despite the considerable …
[PDF][PDF] Global optimization algorithms-theory and application
T Weise - Self-Published Thomas Weise, 2009 - researchgate.net
This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …
solutions for given problems. It especially focuses on Evolutionary Computation by …
Multiobjective immune algorithm with nondominated neighbor-based selection
Abstract Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective
optimization by using a novel nondominated neighbor-based selection technique, an …
optimization by using a novel nondominated neighbor-based selection technique, an …
A hybrid evolutionary immune algorithm for multiobjective optimization problems
In recent years, multiobjective immune algorithms (MOIAs) have shown promising
performance in solving multiobjective optimization problems (MOPs). However, basic MOIAs …
performance in solving multiobjective optimization problems (MOPs). However, basic MOIAs …
A novel immune clonal algorithm for MO problems
Research on multiobjective optimization (MO) becomes one of the hot points of intelligent
computation. Compared with evolutionary algorithm, the artificial immune system used for …
computation. Compared with evolutionary algorithm, the artificial immune system used for …
Evolutionary algorithms for the protein folding problem: A review and current trends
HS Lopes - … intelligence in biomedicine and bioinformatics: current …, 2008 - Springer
Proteins are complex macromolecules that perform vital functions in all living beings. They
are composed of a chain of amino acids. The biological function of a protein is determined …
are composed of a chain of amino acids. The biological function of a protein is determined …
A multi-objective evolutionary approach to the protein structure prediction problem
The protein structure prediction (PSP) problem is concerned with the prediction of the folded,
native, tertiary structure of a protein given its sequence of amino acids. It is a challenging …
native, tertiary structure of a protein given its sequence of amino acids. It is a challenging …
Clonal selection algorithms: A comparative case study using effective mutation potentials
This paper presents a comparative study of two important Clonal Selection Algorithms
(CSAs): CLONALG and opt-IA. To deeply understand the performance of both algorithms …
(CSAs): CLONALG and opt-IA. To deeply understand the performance of both algorithms …
An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies
Most multi-objective immune algorithms (MOIAs) adopt clonal selection to speed up
convergence, as this operator only clones the best individuals during the search process …
convergence, as this operator only clones the best individuals during the search process …
Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization
In recent decades, several multi-objective evolutionary algorithms have been successfully
applied to a wide variety of multi-objective optimization problems. Along the way, several …
applied to a wide variety of multi-objective optimization problems. Along the way, several …