Milestone Methods, SOTA Algorithms, Benchmark Problems Suite

Single and Multi-objective Evolutionary and Metaheuristic Search Algorithms, Benchmarking Suites for Real World Engineering Problems

https://www.researchgate.net/profile/Hamdi-Tolga-Kahraman

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Cite As

Kahraman, Hamdi Tolga; ARAS, Sefa; GEDIKLI, Eyüp. Fitness-distance balance (FDB): a new selection method for meta-heuristic search algorithms. Knowledge-Based Systems, 2020, 190: 105169.

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.3.0

DSC-MOMRFO added

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1.2.18

NSM added

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1.2.17

reference updated

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1.2.16

New Algorithms and Benchmark Suite Added

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1.2.15

url updated

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1.2.14

link updated

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1.2.13

papers' link updated

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1.2.12

Truss Benchmark Problems added

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1.2.11

the URL of the dFDB-LSHADE has been updated.

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1.2.10

code added and format updated

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1.2.9

Charge Scheduling Benchmark Problems Suite (CSBP) added

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1.2.8

dFDB-LSHADE added

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1.2.7

paper link added

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1.2.6

DSC-MOPSO was added

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1.2.5

DRSC-MOAGDE was added.

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1.2.4

References are updated

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1.2.3

new studies added

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1.2.2

Image Updated

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1.2.1

Image updated

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1.2.0

dFDB-SFS algorithm added

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1.1.0

Description updated

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1.0.9

citiation corrected

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1.0.8

Title Updated

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1.0.7

New methods and algorithms are added

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1.0.6

New algorithms added

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1.0.5

Algorithm has been added

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1.0.4

title and summary were updated

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1.0.3

New SOTA algorithms added

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1.0.2

Citation updated

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1.0.1

image update

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1.0.0

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