Artificial chromosomes embedded in genetic algorithm for a chip resistor scheduling problem in minimizing the makespan.
Pei-Chann ChangJih-Chang HsiehShih-Hsin ChenJun-Lin LinWei-Hsiu HuangPublished in: Expert Syst. Appl. (2009)
Keyphrases
- genetic algorithm
- scheduling problem
- tabu search
- evolutionary algorithm
- job shop scheduling problem
- single machine
- genetic operators
- np hard
- simulated annealing
- flowshop
- high speed
- crossover operator
- multi objective
- fitness function
- low cost
- metaheuristic
- neural network
- real world
- minimizing makespan
- embedded systems
- crossover and mutation
- fuzzy logic
- hybrid algorithm
- analog vlsi
- permutation flowshop
- genetic algorithm ga
- mutation operator
- parallel machines
- artificial neural networks
- initial population
- precedence constraints
- circuit design
- genetic search
- release dates
- multi objective optimization
- evolutionary computation
- differential evolution
- physical design
- setup times
- processing times
- programmable logic