Evolutionary Multi-Criterion Optimization
Home > Mathematics and Science Textbooks > Mathematics > Calculus and mathematical analysis > Numerical analysis > Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings(Theoretical Computer Science and General Issues)
Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings(Theoretical Computer Science and General Issues)

Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings(Theoretical Computer Science and General Issues)


     4.5  |  8 Reviews 
5
4
3
2
1



International Edition


X
About the Book

This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Münster, Germany in March 2017.  The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO algorithm implementations.

Table of Contents:
On the effect of scalarising norm choice in a ParEGO implementation.- Multi-objective big data optimization with Metal and Spark.- An empirical assessment of the properties of inverted generational distance indicators on multi- and many-objective optimization.- Solving the Bi-objective traveling thief problem with multi-objective evolutionary algorithms.- Automatically Configuring multi-objective local search using multi-objective optimization.- The multi-objective shortest path problem is NP-hard, or is it.- Angle-based preference models in multi-objective optimization.- Quantitative performance assessment of multi-objective optimizers: The average runtime attainment function.- A multi-objective strategy to allocate roadside units in a vehicular network with guaranteed levels of service.- An approach for the local exploration of discrete many objective optimization problems.- A note on the detection of outliers in a binary outranking relation.- Classifying meta-modeling methodologiesfor evolutionary multi-objective optimization: First results.- Weighted stress function method for multi-objective evolutionary algorithm based on decomposition.- Timing the decision support for real-world many-objective problems.- On the influence of altering the action set on PROMETHEE II's relative ranks.- Peek { Shape { Grab: a methodology in three stages for approximating the non-dominated points of multi-objective discrete combinatorial optimization problems with a multi-objective meta-heuristic.- A new reduced-length genetic representation for evolutionary multi-objective clustering.- A fast incremental BSP tree archive for non-dominated points.- Adaptive operator selection for many-objective optimization with NSGA-III.- On using decision maker preferences with ParEGO.- First investigations on noisy model-based multi-objective optimization.- Fusion of many-objective non-dominated solutions using reference points.- An expedition to multi-modal multi-objective optimization landscapes.- Neutral neighbors in Bi-objective optimization: Distribution of the most promising for permutation problems.- Multi-objective adaptation of a parameterized GVGAI agent towards several games.- Towards standardized and seamless integration of expert knowledge into multi-objective evolutionary optimization algorithms.- Empirical investigations of reference point based methods when facing a massively large number of objectives: First results.- Building and using an ontology of preference-based multi-objective evolutionary algorithms.- A fitness landscape analysis of pareto local search on Bi-objective permutation flow-shop scheduling problems.- Dimensionality reduction approach for many-objective vehicle routing problem with demand responsive transport.- Heterogeneous evolutionary swarms with partial redundancy solving multi-objective tasks.- Multiple meta-models for robustness estimation in multi-objective robust optimization.- Predator-Prey techniques for solving multi-objective scheduling problems for unrelated parallel machines.- An overview of weighted and unconstrained scalarizing functions.- Multi-objective representation setups for deformation-based design optimization.- Design perspectives of an evolutionary process for multi-objective molecular optimization.- Towards a better balance of diversity and convergence in NSGA-III: First results.- A comparative study of fast adaptive preference-guided evolutionary multi-objective optimization.- A population-based algorithm for learning a majority rule sorting model with coalitional veto.- Injection of extreme points in evolutionary multio-objective optimization algorithms.- The impact of population size, number of children, and number of reference points on the performance of NSGA-III.- Multi-objective optimization for liner shipping fleet repositioning.- Surrogate-assisted partial order-based evolutionary optimization.- Hyper-volume indicator gradient ascent multi-objective optimization.- Toward step-size adaptation in evolutionary multi-objective optimization.- Computing 3-D expected hyper-volume improvement and related integrals in asymptotically optimal time.


Best Sellers


Product Details
  • ISBN-13: 9783319541563
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 702
  • Returnable: Y
  • Series Title: Theoretical Computer Science and General Issues
  • Width: 155 mm
  • ISBN-10: 3319541560
  • Publisher Date: 19 Feb 2017
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Series Title: Theoretical Computer Science and General Issues
  • Sub Title: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings


Similar Products

Add Photo
Add Photo

Customer Reviews

     4.5  |  8 Reviews 
out of (%) reviewers recommend this product
Top Reviews
Rating Snapshot
Select a row below to filter reviews.
5
4
3
2
1
Average Customer Ratings
     4.5  |  8 Reviews 
00 of 0 Reviews
Sort by :
Active Filters

00 of 0 Reviews
SEARCH RESULTS
1–2 of 2 Reviews
    BoxerLover2 - 5 Days ago
    A Thrilling But Totally Believable Murder Mystery

    Read this in one evening. I had planned to do other things with my day, but it was impossible to put down. Every time I tried, I was drawn back to it in less than 5 minutes. I sobbed my eyes out the entire last 100 pages. Highly recommend!

    BoxerLover2 - 5 Days ago
    A Thrilling But Totally Believable Murder Mystery

    Read this in one evening. I had planned to do other things with my day, but it was impossible to put down. Every time I tried, I was drawn back to it in less than 5 minutes. I sobbed my eyes out the entire last 100 pages. Highly recommend!


Sample text
Photo of
    Media Viewer

    Sample text
    Reviews
    Reader Type:
    BoxerLover2
    00 of 0 review

    Your review was submitted!
    Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings(Theoretical Computer Science and General Issues)
    Springer International Publishing AG -
    Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings(Theoretical Computer Science and General Issues)
    Writing guidlines
    We want to publish your review, so please:
    • keep your review on the product. Review's that defame author's character will be rejected.
    • Keep your review focused on the product.
    • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
    • Refrain from mentioning competitors or the specific price you paid for the product.
    • Do not include any personally identifiable information, such as full names.

    Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings(Theoretical Computer Science and General Issues)

    Required fields are marked with *

    Review Title*
    Review
      Add Photo Add up to 6 photos
      Would you recommend this product to a friend?
      Tag this Book Read more
      Does your review contain spoilers?
      What type of reader best describes you?
      I agree to the terms & conditions
      You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

      CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

      These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


      By submitting any content to Bookswagon, you guarantee that:
      • You are the sole author and owner of the intellectual property rights in the content;
      • All "moral rights" that you may have in such content have been voluntarily waived by you;
      • All content that you post is accurate;
      • You are at least 13 years old;
      • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
      You further agree that you may not submit any content:
      • That is known by you to be false, inaccurate or misleading;
      • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
      • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
      • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
      • For which you were compensated or granted any consideration by any unapproved third party;
      • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
      • That contains any computer viruses, worms or other potentially damaging computer programs or files.
      You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


      For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


      All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

      Accept

      New Arrivals


      Inspired by your browsing history


      Your review has been submitted!

      You've already reviewed this product!