Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M).
Hemant Kumar SinghMd. AsafuddoulaTapabrata RayPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- solving problems
- evolutionary algorithm
- hard and soft constraints
- multi objective
- optimization problems
- evolutionary computation
- integrity checking
- differential evolution
- multi objective optimization
- fitness function
- function optimization
- genetic programming
- constraint programming
- soft constraints
- genetic algorithm
- simulated annealing
- database
- cost function
- hard constraints
- databases