Quality Assessment of Pareto Set Approximations
Multiobjective Optimization
Multiobjective evolutionary algorithm with controllable focus on the knees of the Pareto front
IEEE Transactions on Evolutionary Computation
Multiple trajectory search for unconstrained/constrained multi-objective optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization
Information Sciences: an International Journal
A favorable weight-based evolutionary algorithm for multiple criteria problems
IEEE Transactions on Evolutionary Computation
Multiprocessor systems-on-chip synthesis using multi-objective evolutionary computation
Proceedings of the 12th annual conference on Genetic and evolutionary computation
A controlled migration genetic algorithm operator for hardware-in-the-loop experimentation
Engineering Applications of Artificial Intelligence
Spanning the pareto front of a counter radar detection problem
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Automated error correction of business process models
BPM'11 Proceedings of the 9th international conference on Business process management
A novel group search optimizer for multi-objective optimization
Expert Systems with Applications: An International Journal
History-aware, real-time risk detection in business processes
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
An adaptive evolutionary multi-objective approach based on simulated annealing
Evolutionary Computation
ECO-ALOC: Energy-efficient resource allocation for cluster-based software routers
Computer Networks: The International Journal of Computer and Telecommunications Networking
Ordinal optimization based approach to the optimal resource allocation of grid computing system
Mathematical and Computer Modelling: An International Journal
International Journal of Applied Evolutionary Computation
Edges of mutually non-dominating sets
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Proceedings of the Conference on Design, Automation and Test in Europe
Analog Integrated Circuits and Signal Processing
Environmental Modelling & Software
| Hi-index | 0.00 |
Simulated annealing is a provably convergent optimizer for single-objective problems. Previously proposed multiobjective extensions have mostly taken the form of a single-objective simulated annealer optimizing a composite function of the objectives. We propose a multiobjective simulated annealer utilizing the relative dominance of a solution as the system energy for optimization, eliminating problems associated with composite objective functions. We also propose a method for choosing perturbation scalings promoting search both towards and across the Pareto front. We illustrate the simulated annealer's performance on a suite of standard test problems and provide comparisons with another multiobjective simulated annealer and the NSGA-II genetic algorithm. The new simulated annealer is shown to promote rapid convergence to the true Pareto front with a good coverage of solutions across it comparing favorably with the other algorithms. An application of the simulated annealer to an industrial problem, the optimization of a code-division-multiple access (CDMA) mobile telecommunications network's air interface, is presented and the simulated annealer is shown to generate nondominated solutions with an even and dense coverage that outperforms single objective genetic algorithm optimizers.