4.7 Article

Enhanced Constraint Handling for Reliability-Constrained Multiobjective Testing Resource Allocation

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

A Coevolutionary Framework for Constrained Multiobjective Optimization Problems

Ye Tian et al.

Summary: This article proposes a coevolutionary framework for constrained multiobjective optimization problems, which demonstrates high competitiveness in experiments compared to other algorithms.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)

Article Automation & Control Systems

A Cooperative Evolutionary Framework Based on an Improved Version of Directed Weight Vectors for Constrained Multiobjective Optimization With Deceptive Constraints

Chaoda Peng et al.

Summary: This article introduces a set of CMOPs with deceptive constraints and proposes a cooperative framework that effectively solves this problem. The framework consists of two phases, one for exploring feasible regions and the other for exploring the entire space, with the ability to switch phases based on information found during the evolutionary process.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Automation & Control Systems

Indicator-Based Constrained Multiobjective Evolutionary Algorithms

Zhi-Zhong Liu et al.

Summary: This study combines indicator-based multiobjective evolutionary algorithms with constraint-handling techniques to develop a framework for constrained multiobjective optimization. Nine indicator-based CMOEAs were developed and experimentally evaluated on 19 widely used test functions. The results show the importance of both indicator-based MOEAs and constraint-handling techniques in the performance of indicator-based CMOEAs, providing valuable insights for future research.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

MOEA/D-based participant selection method for crowdsensing with social awareness

Jianjiao Ji et al.

APPLIED SOFT COMPUTING (2020)

Article Computer Science, Software Engineering

On the testing resource allocation problem: Research trends and perspectives

Roberto Pietrantuono

JOURNAL OF SYSTEMS AND SOFTWARE (2020)

Article Computer Science, Artificial Intelligence

Novel Interactive Preference-Based Multiobjective Evolutionary Optimization for Bolt Supporting Networks

Yi-Nan Guo et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Artificial Intelligence

An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions

Zhun Fan et al.

SOFT COMPUTING (2019)

Article Computer Science, Artificial Intelligence

A multi-objective differential evolutionary algorithm for constrained multi-objective optimization problems with low feasible ratio

Yongkuan Yang et al.

APPLIED SOFT COMPUTING (2019)

Article Computer Science, Artificial Intelligence

Handling Constrained Multiobjective Optimization Problems With Constraints in Both the Decision and Objective Spaces

Zhi-Zhong Liu et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

Article Computer Science, Theory & Methods

Quality Evaluation of Solution Sets in Multiobjective Optimisation: A Survey

Miqing Li et al.

ACM COMPUTING SURVEYS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Improving Search-Based Software Testing by Constraint-Based Genetic Operators

Ziming Zhu et al.

PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'19) (2019)

Article Biochemical Research Methods

Robust Dynamic Multi-Objective Vehicle Routing Optimization Method

Yi-Nan Guo et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2018)

Article Computer Science, Artificial Intelligence

Genetic Improvement of Software: A Comprehensive Survey

Justyna Petke et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)

Article Computer Science, Artificial Intelligence

Multiobjective Testing Resource Allocation Under Uncertainty

Roberto Pietrantuono et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)

Proceedings Paper Computer Science, Software Engineering

Search-based Optimization for the Testing Resource Allocation Problem: Research Trends and Opportunities

Roberto Pietrantuono et al.

PROCEEDINGS 2018 IEEE/ACM 11TH INTERNATIONAL WORKSHOP ON SEARCH-BASED SOFTWARE TESTING (SBST) (2018)

Proceedings Paper Computer Science, Software Engineering

A Critical Review of A Practical Guide to Select Quality Indicators for Assessing Pareto-Based Search Algorithms in Search-Based Software Engineering: Essay on Quality Indicator Selection for SBSE

Miqing Li et al.

2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: NEW IDEAS AND EMERGING TECHNOLOGIES RESULTS (ICSE-NIER) (2018)

Article Computer Science, Hardware & Architecture

Constraint Handling in NSGA-II for Solving Optimal Testing Resource Allocation Problems

Guofu Zhang et al.

IEEE TRANSACTIONS ON RELIABILITY (2017)

Article Computer Science, Hardware & Architecture

An Architecture-Based Multi-Objective Optimization Approach to Testing Resource Allocation

Bo Yang et al.

IEEE TRANSACTIONS ON RELIABILITY (2015)

Article Biochemical Research Methods

jMetalCpp: optimizing molecular docking problems with a C++ metaheuristic framework

Esteban Lopez-Camacho et al.

BIOINFORMATICS (2014)

Proceedings Paper Computer Science, Software Engineering

A Practical Guide for Using Statistical Tests to Assess Randomized Algorithms in Software Engineering

Andrea Arcuri et al.

2011 33RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE) (2011)

Article Computer Science, Hardware & Architecture

Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems

Zai Wang et al.

IEEE TRANSACTIONS ON RELIABILITY (2010)

Article Computer Science, Software Engineering

Software Reliability and Testing Time Allocation: An Architecture-Based Approach

Roberto Pietrantuono et al.

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (2010)

Article Engineering, Multidisciplinary

OPTIMAL TESTING RESOURCE ALLOCATION FOR MODULAR SOFTWARE CONSIDERING COST, TESTING EFFORT AND RELIABILITY USING GENETIC ALGORITHM

P. K. Kapur et al.

INTERNATIONAL JOURNAL OF RELIABILITY QUALITY & SAFETY ENGINEERING (2009)

Article Computer Science, Artificial Intelligence

MOEA/D: A multiobjective evolutionary algorithm based on decomposition

Qingfu Zhang et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)

Article Computer Science, Hardware & Architecture

Optimal allocation of test resources for software reliability growth modeling in software development

MR Lyu et al.

IEEE TRANSACTIONS ON RELIABILITY (2002)

Article Computer Science, Artificial Intelligence

A fast and elitist multiobjective genetic algorithm: NSGA-II

K Deb et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)