Evolutionary Computation
SCOPUS (1996-2024)SCIE-ISI
1530-9304
1063-6560
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Cơ quản chủ quản: MIT PRESS , MIT Press Journals
Lĩnh vực:
Computational Mathematics
Các bài báo tiêu biểu
Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
Tập 2 Số 3 - Trang 221-248 - 1994
In trying to solve multiobjective optimization problems, many traditional
methods scalarize the objective vector into a single objective. In those cases,
the obtained solution is highly sensitive to the weight vector used in the
scalarization process and demands that the user have knowledge about the
underlying problem. Moreover, in solving multiobjective problems, designers may
be interested in a...
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Tập 8 Số 2 - Trang 173-195 - 2000
In this paper, we provide a systematic comparison of various evolutionary
approaches to multiobjective optimization using six carefully chosen test
functions. Each test function involves a particular feature that is known to
cause difficulty in the evolutionary optimization process, mainly in converging
to the Pareto-optimal front (e.g., multimodality and deception). By
investigating these differe...
Completely Derandomized Self-Adaptation in Evolution Strategies
Tập 9 Số 2 - Trang 159-195 - 2001
This paper puts forward two useful methods for self-adaptation of the mutation
distribution - the concepts of derandomization and cumulation. Principle
shortcomings of the concept of mutative strategy parameter control and two
levels of derandomization are reviewed. Basic demands on the self-adaptation of
arbitrary (normal) mutation distributions are developed. Applying arbitrary,
normal mutation ...
An Overview of Evolutionary Algorithms in Multiobjective Optimization
Tập 3 Số 1 - Trang 1-16 - 1995
The application of evolutionary algorithms (EAs) in multiobjective optimization
is currently receiving growing interest from researchers with various
backgrounds. Most research in this area has understandably concentrated on the
selection stage of EAs, due to the need to integrate vectorial performance
measures with the inherently scalar way in which EAs reward individual
performance, that is, num...
Evolutionary Algorithms for Constrained Parameter Optimization Problems
Tập 4 Số 1 - Trang 1-32 - 1996
Evolutionary computation techniques have received a great deal of attention
regarding their potential as optimization techniques for complex numerical
functions. However, they have not produced a significant breakthrough in the
area of nonlinear programming due to the fact that they have not addressed the
issue of constraints in a systematic way. Only recently have several methods
been proposed fo...
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Tập 8 Số 2 - Trang 125-147 - 2000
Solving optimization problems with multiple (often conflicting) objectives is,
generally, a very difficult goal. Evolutionary algorithms (EAs) were initially
extended and applied during the mid-eighties in an attempt to stochastically
solve problems of this generic class. During the past decade, a variety of
multiobjective EA (MOEA) techniques have been proposed and applied to many
scientific and ...
Strongly Typed Genetic Programming
Tập 3 Số 2 - Trang 199-230 - 1995
Genetic programming is a powerful method for automatically generating computer
programs via the process of natural selection (Koza, 1992). However, in its
standard form, there is no way to restrict the programs it generates to those
where the functions operate on appropriate data types. In the case when the
programs manipulate multiple data types and contain functions designed to
operate on partic...
Introducing Robustness in Multi-Objective Optimization
Tập 14 Số 4 - Trang 463-494 - 2006
In optimization studies including multi-objective optimization, the main focus
is placed on finding the global optimum or global Pareto-optimal solutions,
representing the best possible objective values. However, in practice, users may
not always be interested in finding the so-called global best solutions,
particularly when these solutions are quite sensitive to the variable
perturbations which c...
Empirical Investigation of Multiparent Recombination Operators in Evolution Strategies
Tập 5 Số 3 - Trang 347-365 - 1997
An extension of evolution strategies to multiparent recombination involving a
variable number ϱ of parents to create an offspring individual is proposed. The
extension is experimentally evaluated on a test suite of functions differing in
their modality and separability and the regular/irregular arrangement of their
local optima. Multiparent diagonal crossover and uniform scanning crossover and
a m...
A Hidden Markov Model Approach to the Problem of Heuristic Selection in Hyper-Heuristics with a Case Study in High School Timetabling Problems
Tập 25 Số 3 - Trang 473-501 - 2017
Abstract Operations research is a well-established field that uses computational
systems to support decisions in business and public life. Good solutions to
operations research problems can make a large difference to the efficient
running of businesses and organisations and so the field often searches for new
methods to improve these solutions. The high school timetabling problem is an
example of ...