Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
A Variant of Evolution Strategies for Vector Optimization
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Multi-Objective Optimization by Means of the Thermodynamical Genetic Algorithm
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Theoretical advances in artificial immune systems
Theoretical Computer Science
Artificial immune system for multi-objective design optimization of composite structures
Engineering Applications of Artificial Intelligence
A Novel Clonal Selection Algorithm and Its Application to Traveling Salesman Problem
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
An Improved Clonal Selection Algorithm and Its Application to Traveling Salesman Problems
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
On the utility of the population size for inversely fitness proportional mutation rates
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
Adaptive control for ship steering based on clonal selection model identification
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Overview of artificial immune systems for multi-objective optimization
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Analyzing different variants of immune inspired somatic contiguous hypermutations
Theoretical Computer Science
DG allocation using clonal selection algorithm (CSA) to minimize losses and improve voltage security
ACELAE'11 Proceedings of the 10th WSEAS international conference on communications, electrical & computer engineering, and 9th WSEAS international conference on Applied electromagnetics, wireless and optical communications
Variation in artificial immune systems: hypermutations with mutation potential
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
A population adaptive based immune algorithm for solving multi-objective optimization problems
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Asymptotic convergence of some metaheuristics used for multiobjective optimization
FOGA'05 Proceedings of the 8th international conference on Foundations of Genetic Algorithms
Computing longest common subsequences with the B-cell algorithm
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
Mobile robot path planning using polyclonal-based artificial immune network
Journal of Control Science and Engineering - Special issue on Advances in Methods for Networked and Cyber-Physical System
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In this paper, we propose a new multiobjective optimization approach based on the clonal selection principle. Our approach is compared with respect to other evolutionary multiobjective optimization techniques that are representative of the state-of-the-art in the area. In our study, several test functions and metrics commonly adopted in evolutionary multiobjective optimization are used. Our results indicate that the use of an artificial immune system for multiobjective optimization is a viable alternative.