Keyword: heuristics: genetic algorithms

Found 930 papers in total
VIS: an artificial immune network for multi-objective optimization
VIS: an artificial immune network for multi-objective optimization
2006,
The aim of this work is to propose and validate a novel multi-objective optimization...
A surrogate assisted parallel multiobjective evolutionary algorithm for robust engineering design
A surrogate assisted parallel multiobjective evolutionary algorithm for robust engineering design
2006,
A number of multi-objective evolutionary algorithms have been proposed in recent years...
The fuzzy quadratic assignment problem with penalty: new models and genetic algorithm
The fuzzy quadratic assignment problem with penalty: new models and genetic algorithm
2006,
The assignment problem is to find the total costs optimal jobs assignment schedule...
Optimization of the order policy in a distribution center of supermarket system
Optimization of the order policy in a distribution center of supermarket system
2006,
System dynamics is an important theory and approach to explore the complex system. The...
Beer game order policy optimization under changing customer demand
Beer game order policy optimization under changing customer demand
2007,
The present work analyses the optimal Beer Game order policy when customers demand...
Due date and cost-based FMS loading, scheduling and tool management
Due date and cost-based FMS loading, scheduling and tool management
2007,
In this study, we consider flexible manufacturing system loading, scheduling and tool...
Cultural algorithms, an alternative heuristic to solve the job shop scheduling problem
Cultural algorithms, an alternative heuristic to solve the job shop scheduling problem
2007,
In this work, an approach for solving the job shop scheduling problem using a cultural...
The production planning for lot size manufacturing systems with earliness/tardiness due date in fuzzy environments
The production planning for lot size manufacturing systems with earliness/tardiness due date in fuzzy environments
2006,
Production planning with fuzzy demands is described, and three types of fuzzy...
No-wait parallel fiowshop scheduling with transfer and setup times
No-wait parallel fiowshop scheduling with transfer and setup times
2006,
This paper considers a class of parallel flowshop scheduling problem, which is...
Optimum detailed design of reinforced concrete frames using genetic algorithms
Optimum detailed design of reinforced concrete frames using genetic algorithms
2007,
This article presents the application of the genetic algorithm to the optimum detailed...
A technique for optimally designing engineering structures with manufacturing tolerances accounted for
A technique for optimally designing engineering structures with manufacturing tolerances accounted for
2007,
Accurate optimal design solutions for most engineering structures present considerable...
Engineering design optimization using species-conserving genetic algorithms
Engineering design optimization using species-conserving genetic algorithms
2007,
The species conservation technique described here, in which the population of a...
Rapid modeling and discovery of priority dispatching rules: an autonomous learning approach
Rapid modeling and discovery of priority dispatching rules: an autonomous learning approach
2006,
Priority-dispatching rules have been studied for many decades, and they form the...
Two-machine flow shop problems with a single server
Two-machine flow shop problems with a single server
2006,
Scheduling models that allow the handling of pre-operational setup have been a source...
Charge volume minimization in liberalized telecommunication markets
Charge volume minimization in liberalized telecommunication markets
2005,
The liberalization of telecommunication markets allows the choice of call provider for...
Scramjet missile design using genetic algorithms
Scramjet missile design using genetic algorithms
2006,
The objective of this effort was to show that scramjet powered vehicle designs which...
Engineering optimization using a real-parameter genetic-algorithm-based hybrid method
Engineering optimization using a real-parameter genetic-algorithm-based hybrid method
2006,
A hybrid optimization algorithm which combines the respective merits of the genetic...
A two-step optimization approach for technology selection
A two-step optimization approach for technology selection
2006,
An efficient optimization approach for the technology selection problem is described....
DNA sequencing by hybridization via genetic search
DNA sequencing by hybridization via genetic search
2006,
An innovative approach to DNA sequencing by hybridization utilizes isothermic...
Optimization of perturbed and constrained fuel-optimal impulsive rendezvous using a hybrid approach
Optimization of perturbed and constrained fuel-optimal impulsive rendezvous using a hybrid approach
2006,
The perturbed and constrained fuel-optimal impulsive rendezvous problem is formulated,...
Optimization of transit network layout and headway with a combined genetic algorithm and simulated annealing method
Optimization of transit network layout and headway with a combined genetic algorithm and simulated annealing method
2006,
This article proposes a methodology for optimizing transit networks, including both...
Introducing more choices (flexibility) in the upgrading of water distribution networks: the New York city tunnel network example
Introducing more choices (flexibility) in the upgrading of water distribution networks: the New York city tunnel network example
2005,
The New York city tunnel network problem is a classical case study for water...
Minimizing residence times by rerouting flows to improve water quality in distribution networks
Minimizing residence times by rerouting flows to improve water quality in distribution networks
2006,
Management of water quality is a major issue for water companies, especially as many...
Ensemble learning using multi-objective evolutionary algorithms
Ensemble learning using multi-objective evolutionary algorithms
2006,
Multi-objective evolutionary algorithms for the construction of neural ensembles is a...
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