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Optimization of water distribution systems using genetic algorithms: A review
Water distribution networks are crucial for supplying consumers with quality and adequate
water. A water distribution system comprises connected hydraulic components which ensure …
water. A water distribution system comprises connected hydraulic components which ensure …
A systematic literature review of adaptive parameter control methods for evolutionary algorithms
Evolutionary algorithms (EAs) are robust stochastic optimisers that perform well over a wide
range of problems. Their robustness, however, may be affected by several adjustable …
range of problems. Their robustness, however, may be affected by several adjustable …
Optical microscope algorithm: A new metaheuristic inspired by microscope magnification for solving engineering optimization problems
A novel optimization algorithm called the optical microscope algorithm (OMA) is developed
and applied in this study. Drawing inspiration from the magnification capabilities of an …
and applied in this study. Drawing inspiration from the magnification capabilities of an …
A survey of automatic parameter tuning methods for metaheuristics
Parameter tuning, that is, to find appropriate parameter settings (or configurations) of
algorithms so that their performance is optimized, is an important task in the development …
algorithms so that their performance is optimized, is an important task in the development …
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
Evolutionary algorithms (EA), a class of stochastic search methods based on the principles
of natural evolution, have received widespread acclaim for their exceptional performance in …
of natural evolution, have received widespread acclaim for their exceptional performance in …
Diversity-guided particle swarm optimization with multi-level learning strategy
D Tian, Q Xu, X Yao, G Zhang, Y Li, C Xu - Swarm and Evolutionary …, 2024 - Elsevier
Particle swarm optimization (termed as PSO) is a metaheuristic algorithm inspired by the
swarm intelligence. Since its advent, PSO has been successfully applied to tackle various …
swarm intelligence. Since its advent, PSO has been successfully applied to tackle various …
[ספר][B] Introduction to evolutionary computing
This is the second edition of our 2003 book. It is primarily a book for lecturers and graduate
and undergraduate students. To this group the book offers a thorough introduction to …
and undergraduate students. To this group the book offers a thorough introduction to …
Benchmarking in optimization: Best practice and open issues
This survey compiles ideas and recommendations from more than a dozen researchers with
different backgrounds and from different institutes around the world. Promoting best practice …
different backgrounds and from different institutes around the world. Promoting best practice …
Parameter tuning for configuring and analyzing evolutionary algorithms
In this paper we present a conceptual framework for parameter tuning, provide a survey of
tuning methods, and discuss related methodological issues. The framework is based on a …
tuning methods, and discuss related methodological issues. The framework is based on a …
Resilience-based risk mitigation for road networks
Transportation infrastructure has been identified by the US Department of Homeland
Security as one of sixteen critical infrastructure systems essential to the well-being of …
Security as one of sixteen critical infrastructure systems essential to the well-being of …