Evolutionary computation: toward a new philosophy of machine intelligence
Evolutionary computation: toward a new philosophy of machine intelligence
IEEE/ACM Transactions on Networking (TON)
Routing and wavelength assignment in all-optical networks
IEEE/ACM Transactions on Networking (TON)
Adaptive wavelength routing in all-optical networks
IEEE/ACM Transactions on Networking (TON)
A Hybrid Algorithm for Dynamic Lightpath Protection in Survivable WDM Optical Networks
ISPAN '05 Proceedings of the 8th International Symposium on Parallel Architectures,Algorithms and Networks
IEICE - Transactions on Information and Systems
Multi-Objective Optimization in Computer Networks Using Metaheuristics
Multi-Objective Optimization in Computer Networks Using Metaheuristics
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Integrated multiobjective optimization and a priori preferences using genetic algorithms
Information Sciences: an International Journal
Adaptive evolutionary programming based on reinforcement learning
Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
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Information Sciences: an International Journal
Ensemble strategies with adaptive evolutionary programming
Information Sciences: an International Journal
C-PSA: Constrained Pareto simulated annealing for constrained multi-objective optimization
Information Sciences: an International Journal
Analytic network process for pattern classification problems using genetic algorithms
Information Sciences: an International Journal
International Journal of Metaheuristics
A genetic algorithm for shortest path routing problem and the sizing of populations
IEEE Transactions on Evolutionary Computation
A review of fault management in WDM mesh networks: basic concepts and research challenges
IEEE Network: The Magazine of Global Internetworking
An interpretable classification rule mining algorithm
Information Sciences: an International Journal
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The dynamic routing and wavelength assignment (DRWA) problem is a challenging optimisation problem in optical wavelength division multiplexed (WDM) networks. This paper proposes a novel evolutionary programming algorithm, namely, ERWA, to reduce the set-up time of lightpaths in a WDM network. It is shown that the proposed algorithm with simple extensions, referred to in this paper as ESRWA, is able to provide dedicated protection at the optical layer of the network, thereby addressing the survivable DRWA problem. In contrast to other bio-inspired algorithms available in the literature for the DRWA problem, ERWA facilitates the online discovery of a requested lightpath. The novelty of ERWA lies in the fact that it uses an initial population consisting of only one individual or chromosome and integrates a soft constraint with a set of hard constraints to accomplish proper load balancing. These features result in a lower mean blocking probability and a lower mean execution time compared to those exhibited by the existing bio-inspired algorithms for both the DRWA and the survivable DRWA problems.