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Standing on the shoulders of giants: Seeding search-based multi-objective optimization with prior knowledge for software service composition

https://doi.org/10.1016/j.infsof.2019.05.013

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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An Empirical Investigation of the Optimality and Monotonicity Properties of Multiobjective Archiving Methods

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Evaluating the Seeding Genetic Algorithm

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Indicator-Based Selection in Multiobjective Search

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On Sequential Online Archiving of Objective Vectors

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Statistical power analysis for the behavioral sciences

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jMetal: A Java framework for multi-objective optimization

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Evolutionary composition of QoS-aware web services: A many-objective perspective

inferredcites →https://doi.org/10.1093/oso/9780195099713.001.0001openalex-snapshot

Evolutionary Algorithms in Theory and Practice

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Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach

inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot

A fast and elitist multiobjective genetic algorithm: NSGA-II

inferredcites →https://doi.org/10.1109/cec.2006.1688406openalex-snapshot

Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion

inferredcites →https://doi.org/10.1109/cec.2008.4631121openalex-snapshot

Evolutionary many-objective optimization: A short review

inferredcites →https://doi.org/10.1109/cec.2008.4631208openalex-snapshot

Scalarization versus indicator-based selection in multi-objective CMA evolution strategies

inferredcites →https://doi.org/10.1109/cec.2014.6900473openalex-snapshot

Comparative analysis of classical multi-objective evolutionary algorithms and seeding strategies for pairwise testing of Software Product Lines

inferredcites →https://doi.org/10.1109/cec.2015.7257242openalex-snapshot

F-MOGP: A novel many-objective evolutionary approach to QoS-aware data intensive web service composition

inferredcites →https://doi.org/10.1109/cec11288.2006openalex-snapshot

2006 IEEE International Conference on Evolutionary Computation

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2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)

inferredcites →https://doi.org/10.1109/icpads47876.2019openalex-snapshot

2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS)

inferredcites →https://doi.org/10.1109/icst.2012.92openalex-snapshot

The Seed is Strong: Seeding Strategies in Search-Based Software Testing

inferredcites →https://doi.org/10.1109/icws.2004.1314696openalex-snapshot

Proceedings IEEE International Conference on Web Services

inferredcites →https://doi.org/10.1109/icws.2007.91openalex-snapshot

Flow-Based Service Selection forWeb Service Composition Supporting Multiple QoS Classes

inferredcites →https://doi.org/10.1109/mc.2006.102openalex-snapshot

Service-Oriented Computing

inferredcites →https://doi.org/10.1109/mc.2015.278openalex-snapshot

Toward a Smarter Cloud: Self-Aware Autoscaling of Cloud Configurations and Resources

inferredcites →https://doi.org/10.1109/padsw.2018.8644640openalex-snapshot

Multi-Tenant Cloud Service Composition Using Evolutionary Optimization

inferredcites →https://doi.org/10.1109/tevc.2007.892759openalex-snapshot

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

inferredcites →https://doi.org/10.1109/tevc.2010.2083669openalex-snapshot

Evolutionary Improvement of Programs

inferredcites →https://doi.org/10.1109/tsc.2011.6openalex-snapshot

E³: A Multiobjective Optimization Framework for SLA-Aware Service Composition

inferredcites →https://doi.org/10.1109/tsc.2012.34openalex-snapshot

Investigating QoS of Real-World Web Services

inferredcites →https://doi.org/10.1109/tsc.2015.2499770openalex-snapshot

Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based Services

inferredcites →https://doi.org/10.1109/tse.2004.11openalex-snapshot

QoS-aware middleware for Web services composition

inferredcites →https://doi.org/10.1109/tse.2007.1011openalex-snapshot

Adaptive Service Composition in Flexible Processes

inferredcites →https://doi.org/10.1109/tse.2013.61openalex-snapshot

Multi-Objective Quality-Driven Service Selection—A Fully Polynomial Time Approximation Scheme

inferredcites →https://doi.org/10.1145/1068009openalex-snapshot

Proceedings of the 7th annual conference on Genetic and evolutionary computation

inferredcites →https://doi.org/10.1145/1068009.1068189openalex-snapshot

An approach for QoS-aware service composition based on genetic algorithms

inferredcites →https://doi.org/10.1145/3183399.3183405openalex-snapshot

A critical review of

inferredcites →https://doi.org/10.1145/3190507openalex-snapshot

A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems

inferredcites →https://doi.org/10.1145/3204459openalex-snapshot

FEMOSAA

inferredcites →https://doi.org/10.1145/3205455openalex-snapshot

Proceedings of the Genetic and Evolutionary Computation Conference

inferredcites →https://doi.org/10.1145/3205455.3205513openalex-snapshot

On the effects of seeding strategies

inferredcites →https://doi.org/10.1155/2014/252934openalex-snapshot

A Hybrid Multiobjective Discrete Particle Swarm Optimization Algorithm for a SLA‐Aware Service Composition Problem

inferredcites →https://doi.org/10.4324/9780203771587openalex-snapshot

Statistical Power Analysis for the Behavioral Sciences

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Seeding Grammars in Grammatical Evolution to Improve Search Based Software Testing

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Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms

inferred← citeshttps://doi.org/10.1007/978-981-96-3538-2_3openalex-snapshot

When Is Non-deteriorating Population Update in MOEAs Beneficial?

inferred← citeshttps://doi.org/10.1007/s42979-021-00631-7openalex-snapshot

Seeding Grammars in Grammatical Evolution to Improve Search-Based Software Testing

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Offshore floating platform synergizing internally-installed self-reacting wave energy converters for optimizing vibration control and energy harvesting

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Methodology and Guidelines for Evaluating Multi-Objective Search-Based Software Engineering

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Synergizing Domain Expertise With Self-Awareness in Software Systems: A Patternized Architecture Guideline

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Lifelong Dynamic Optimization for Self-Adaptive Systems: Fact or Fiction?

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Multi-Objective Archiving

inferred← citeshttps://doi.org/10.1109/tsc.2023.3237043openalex-snapshot

DebtCom: Technical Debt-Aware Service Recomposition in SaaS Cloud

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How to Evaluate Solutions in Pareto-Based Search-Based Software Engineering: A Critical Review and Methodological Guidance

inferred← citeshttps://doi.org/10.1109/tse.2024.3388910openalex-snapshot

MMO: Meta Multi-Objectivization for Software Configuration Tuning

inferred← citeshttps://doi.org/10.1145/3387939.3391604openalex-snapshot

DATESSO

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Information Reuse and Stochastic Search

inferred← citeshttps://doi.org/10.1145/3465335openalex-snapshot

Is Our Archiving Reliable? Multiobjective Archiving Methods on “Simple” Artificial Input Sequences

inferred← citeshttps://doi.org/10.1145/3468264.3468555openalex-snapshot

Multi-objectivizing software configuration tuning

inferred← citeshttps://doi.org/10.1145/3514233openalex-snapshot

The Weights Can Be Harmful: Pareto Search versus Weighted Search in Multi-objective Search-based Software Engineering

inferred← citeshttps://doi.org/10.1145/3524844.3528060openalex-snapshot

Planning landscape analysis for self-adaptive systems

inferred← citeshttps://doi.org/10.1145/3532182openalex-snapshot

Some Seeds Are Strong: Seeding Strategies for Search-based Test Case Selection

inferred← citeshttps://doi.org/10.1145/3571853openalex-snapshot

Do Performance Aspirations Matter for Guiding Software Configuration Tuning? An Empirical Investigation under Dual Performance Objectives

inferred← citeshttps://doi.org/10.1145/3643751openalex-snapshot

Adapting Multi-objectivized Software Configuration Tuning

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Methodology and Guidelines for Evaluating Multi-objective Search-Based Software Engineering

inferred← citeshttps://doi.org/10.1145/3680468openalex-snapshot

Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing

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Deep Configuration Performance Learning: A Systematic Survey and Taxonomy

inferred← citeshttps://doi.org/10.11591/ijece.v10i4.pp4416-4425openalex-snapshot

Self-checking method for fault tolerance solution in wireless sensor network

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Performance Evaluation Metrics for Multi-Objective Evolutionary Algorithms in Search-Based Software Engineering: Systematic Literature Review

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Search-Based Software Engineering for Self-Adaptive Systems: Survey, Disappointments, Suggestions and Opportunities

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