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Single and Multi-objective Evolutionary Algorithms for the Coordination of Serial Manufacturing Operations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-36970-8_41openalex-snapshot
Experimental Genetic Operators Analysis for the Multi-objective Permutation Flowshop
inferredcites →https://doi.org/10.1007/3-540-45322-9_6openalex-snapshot
An Evolutionary Algorithm for the Sequence Coordination in Furniture Production
inferredcites →https://doi.org/10.1007/978-1-4615-4119-6_19openalex-snapshot
Evolutionary Computation
inferredcites →https://doi.org/10.1007/978-3-642-17144-4_4openalex-snapshot
An Introduction to Multiobjective Metaheuristics for Scheduling and Timetabling
inferredcites →https://doi.org/10.1007/978-3-662-02830-8openalex-snapshot
Genetic Algorithms + Data Structures = Evolution Programs
inferredcites →https://doi.org/10.1007/978-3-662-03315-9openalex-snapshot
Genetic Algorithms + Data Structures = Evolution Programs
inferredcites →https://doi.org/10.1007/b101971openalex-snapshot
The Traveling Salesman Problem and Its Variations
inferredcites →https://doi.org/10.1007/s002910000046openalex-snapshot
A survey and annotated bibliography of multiobjective combinatorial optimization
inferredcites →https://doi.org/10.1016/0360-8352(96)00053-8openalex-snapshot
Genetic algorithms for flowshop scheduling problems
inferredcites →https://doi.org/10.1016/j.ejor.2005.12.019openalex-snapshot
Genetic algorithms for supply-chain scheduling: A case study in the distribution of ready-mixed concrete
inferredcites →https://doi.org/10.1016/s0377-2217(01)00123-0openalex-snapshot
Multi-objective meta-heuristics: An overview of the current state-of-the-art
inferredcites →https://doi.org/10.1023/a:1014934612090openalex-snapshot
Set-Up Coordination between Two Stages of a Supply Chain
inferredcites →https://doi.org/10.1080/03052150008941301openalex-snapshot
TREATING CONSTRAINTS AS OBJECTIVES FOR SINGLE-OBJECTIVE EVOLUTIONARY OPTIMIZATION
inferredcites →https://doi.org/10.1080/09537280310001597334openalex-snapshot
A genetic algorithm for multiple objective dealing with exceptional elements in cellular manufacturing
inferredcites →https://doi.org/10.1109/3468.650319openalex-snapshot
Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation
inferredcites →https://doi.org/10.1109/4235.850651openalex-snapshot
Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons
inferredcites →https://doi.org/10.1109/4235.930311openalex-snapshot
Microgenetic algorithms as generalized hill-climbing operators for GA optimization
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/5326.704576openalex-snapshot
A multi-objective genetic local search algorithm and its application to flowshop scheduling
inferredcites →https://doi.org/10.1109/cec.1999.781913openalex-snapshot
The Pareto archived evolution strategy: a new baseline algorithm for Pareto multiobjective optimisation
inferredcites →https://doi.org/10.1109/icsmc.2001.969802openalex-snapshot
Operational scheduling for rough mills using a virtual manufacturing environment
inferredcites →https://doi.org/10.1109/icsmc.2001.969805openalex-snapshot
Reconfiguring processes in a holonic sawmill
inferredcites →https://doi.org/10.1109/icsmc.2003.1243784openalex-snapshot
Multi-ob ective evolutionary algorithms for a class of sequencing problems in manufacturing environments
inferredcites →https://doi.org/10.1109/tevc.2003.810752openalex-snapshot
Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling
inferredcites →https://doi.org/10.1111/j.1475-3995.1998.tb00098.xopenalex-snapshot
An Evolutionary Approach of Multicriteria Manufacturing Cell Formation
inferredcites →https://doi.org/10.1162/106365600568167openalex-snapshot
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
inferredcites →https://doi.org/10.7551/mitpress/2887.003.0018openalex-snapshot
A Survey of Constraint Handling Techniques in Evolutionary Computation Methods
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-50088-1_12openalex-snapshot
Waste Reduction in Fresh Food Supply Chains: An Operations Research Approach
inferred← citeshttps://doi.org/10.1007/s00500-020-05063-8openalex-snapshot
Evolutionary operators for the Hamiltonian completion problem
inferred← citeshttps://doi.org/10.1007/s10479-006-0065-0openalex-snapshot
Setup coordination between two stages of a production system: A multi-objective evolutionary approach
inferred← citeshttps://doi.org/10.1007/s10845-010-0426-zopenalex-snapshot
Pheromone-based coordination for manufacturing system control
inferred← citeshttps://doi.org/10.1016/j.asoc.2011.08.014openalex-snapshot
An ant colony optimization algorithm for setup coordination in a two-stage production system
inferred← citeshttps://doi.org/10.1016/j.ejor.2007.06.032openalex-snapshot
On solving multiobjective bin packing problems using evolutionary particle swarm optimization
inferred← citeshttps://doi.org/10.1016/j.enconman.2009.07.010openalex-snapshot
Evolutionary algorithms approach for integrated bioenergy supply chains optimization
inferred← citeshttps://doi.org/10.1016/j.ijpe.2008.10.002openalex-snapshot
A least flexibility first heuristic to coordinate setups in a two- or three-stage supply chain
inferred← citeshttps://doi.org/10.1016/j.matcom.2017.12.006openalex-snapshot
Microforecasting methods for fresh food supply chain management: A computational study
inferred← citeshttps://doi.org/10.1016/s1570-7946(08)80182-4openalex-snapshot
A methodology for designing and evaluating Biomass Utilization Networks
inferred← citeshttps://doi.org/10.1080/00207543.2012.716172openalex-snapshot
Minimising general setup costs in a two-stage production system
inferred← citeshttps://doi.org/10.1093/comjnl/bxx021openalex-snapshot
A Multi-Machine Order Scheduling with Learning Using the Genetic Algorithm and Particle Swarm Optimization
inferred← citeshttps://doi.org/10.3390/en15176136openalex-snapshot
Framework for Optimized Analysis of Waste Bioenergy Projects
inferred← citeshttps://doi.org/10.3390/su14148279openalex-snapshot
Optimising Changeover through Lean-Manufacturing Principles: A Case Study in a Food Factory
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