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Solving binary constraint satisfaction problems using evolutionary algorithms with an adaptive fitness function

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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-58484-6_249openalex-snapshot
Co-evolutionary constraint satisfaction
inferredcites →https://doi.org/10.1007/bfb0026593openalex-snapshot
Adaptive penalties for evolutionary graph coloring
inferredcites →https://doi.org/10.1007/bfb0040766openalex-snapshot
A superior evolutionary algorithm for 3-SAT
inferredcites →https://doi.org/10.1016/0004-3702(94)90104-xopenalex-snapshot
Exploiting the deep structure of constraint problems
inferredcites →https://doi.org/10.1016/0004-3702(95)00048-8openalex-snapshot
An empirical study of phase transitions in binary constraint satisfaction problems
inferredcites →https://doi.org/10.1023/a:1009638304510openalex-snapshot
Graph Coloring with Adaptive Evolutionary Algorithms
inferredcites →https://doi.org/10.1109/icec.1994.349934openalex-snapshot
Solving small and large scale constraint satisfaction problems using a heuristic-based microgenetic algorithm
inferredcites →https://doi.org/10.1109/icec.1995.487454openalex-snapshot
Solving randomly generated constraint satisfaction problems using a micro-evolutionary hybrid that evolves a population of hill-climbers
inferredcites →https://doi.org/10.1109/icec.1996.542371openalex-snapshot
Self-adaptivity for constraint satisfaction: learning penalty functions
inferredcites →https://doi.org/10.1109/icec.1996.542375openalex-snapshot
Using the knowledge of the constraints network to design an evolutionary algorithm that solves CSP
inferredcites →https://doi.org/10.1109/icec.1997.592332openalex-snapshot
Evolutionary search guided by the constraint network to solve CSP
inferredcites →https://doi.org/10.1162/artl.1995.2.355openalex-snapshot
Coevolutionary Computation
inferredcites →https://doi.org/10.1201/9781420034349.ch12openalex-snapshot
Constraint-satisfaction problems
inferredcites →https://doi.org/10.1887/0750308958/b386c53openalex-snapshot
Constraint-satisfaction problems

What points at this work

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

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Miner Ants Colony: A New Approach to Solve a Mine Planning Problem
inferred← citeshttps://doi.org/10.1007/3-540-39963-1_21openalex-snapshot
Evaluating Migration Strategies for an Evolutionary Algorithm Based on the Constraint-Graph that Solves CSP
inferred← citeshttps://doi.org/10.1007/3-540-44399-1_47openalex-snapshot
Multiple Populations Guided by the Constraint-Graph for CSP
inferred← citeshttps://doi.org/10.1007/3-540-45561-2_26openalex-snapshot
An Ambulance Crew Rostering System
inferred← citeshttps://doi.org/10.1007/3-540-46004-7_9openalex-snapshot
Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation
inferred← citeshttps://doi.org/10.1007/3-540-48050-1_37openalex-snapshot
Inheriting Parents Operators: A New Dynamic Strategy for Improving Evolutionary Algorithms
inferred← citeshttps://doi.org/10.1007/3-540-48051-x_40openalex-snapshot
A Self-Adaptable Distributed Evolutionary Algorithm to Tackle Space Planning Problems
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A Comparison of Genetic Programming Variants for Data Classification
inferred← citeshttps://doi.org/10.1007/3-540-48885-5_16openalex-snapshot
Adapting the Fitness Function in GP for Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-540-30498-2_23openalex-snapshot
Adapting Evolutionary Parameters by Dynamic Filtering for Operators Inheritance Strategy
inferred← citeshttps://doi.org/10.1007/978-3-540-73922-7_3openalex-snapshot
NAIS: A Calibrated Immune Inspired Algorithm to Solve Binary Constraint Satisfaction Problems
inferred← citeshttps://doi.org/10.1007/978-3-540-87993-0_18openalex-snapshot
An Evolutionary Perspective on Approximate RDF Query Answering
inferred← citeshttps://doi.org/10.1007/978-3-642-03246-2_24openalex-snapshot
Managing Diversity on an AIS That Solves 3-Colouring Problems
inferred← citeshttps://doi.org/10.1007/978-3-642-04125-9_51openalex-snapshot
A New Strategy Based on GRASP to Solve a Macro Mine Planning
inferred← citeshttps://doi.org/10.1007/978-3-642-35101-3_21openalex-snapshot
ICHEA for Discrete Constraint Satisfaction Problems
inferred← citeshttps://doi.org/10.1007/978-3-662-04448-3_2openalex-snapshot
Evolutionary Algorithms and Constraint Satisfaction: Definitions, Survey, Methodology, and Research Directions
inferred← citeshttps://doi.org/10.1007/978-3-662-43505-2_65openalex-snapshot
Evolutionary Computation and Constraint Satisfaction
inferred← citeshttps://doi.org/10.1007/s00521-010-0390-8openalex-snapshot
A graph-based immune-inspired constraint satisfaction search
inferred← citeshttps://doi.org/10.1007/s10009-004-0141-1openalex-snapshot
Exploring very large state spaces using genetic algorithms
inferred← citeshttps://doi.org/10.1007/s40747-021-00384-zopenalex-snapshot
Feature selection algorithm for usability engineering: a nature inspired approach
inferred← citeshttps://doi.org/10.1016/s0304-3975(02)00133-0openalex-snapshot
GA performance distributions and randomly generated binary constraint satisfaction problems
inferred← citeshttps://doi.org/10.1109/4235.771166openalex-snapshot
Parameter control in evolutionary algorithms
inferred← citeshttps://doi.org/10.1109/cec.1999.781986openalex-snapshot
SAWing on symmetry
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Solving constraint satisfaction problems with heuristic-based evolutionary algorithms
inferred← citeshttps://doi.org/10.1109/cec.2007.4424831openalex-snapshot
Towards an immune system that solves CSP
inferred← citeshttps://doi.org/10.1109/cec.2008.4631344openalex-snapshot
EA-MP: An evolutionary algorithm for a mine planning problem
inferred← citeshttps://doi.org/10.1109/cec.2010.5585920openalex-snapshot
Meta-heuristic search and square erickson matrices
inferred← citeshttps://doi.org/10.1109/ictai.2008.43openalex-snapshot
Solving Temporal Constraint Satisfaction Problems with Heuristic Based Evolutionary Algorithms
inferred← citeshttps://doi.org/10.1109/tevc.2003.816584openalex-snapshot
Comparing evolutionary algorithms on binary constraint satisfaction problems
inferred← citeshttps://doi.org/10.1109/tevc.2005.844157openalex-snapshot
A Genetic Algorithm for Searching Spatial Configurations
inferred← citeshttps://doi.org/10.1145/1068009.1068110openalex-snapshot
Transition models as an incremental approach for problem solving in evolutionary algorithms
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A genetic local search algorithm for random binary constraint satisfaction problems
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Evolutionary optimisation of coal production in underground mines …
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A Constraint Driven Solution Model for Discrete Domains with a Case Study of Exam Timetabling Problems
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