Results 81 to 90 of about 36,801 (217)
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim +4 more
wiley +1 more source
ASSET ALLOCATION AND PORTFOLIO OPTIMIZATION PROBLEMS WITH METAHEURISTICS: A LITERATURE SURVEY [PDF]
Business Excellence and Management, 2013 The main objective of Markowitz work is seeking optimal allocation of wealth on a defined number of assets while minimizing risk and maximizing returns of expected portfolio.
Bilel JARRAYA
doaj
A study on exponential-size neighborhoods for the bin packing problem with conflicts
, 2017 We propose an iterated local search based on several classes of local and large neighborhoods for the bin packing problem with conflicts. This problem, which combines the characteristics of both bin packing and vertex coloring, arises in various ...
Capua, Renatha +3 more
core +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu +4 more
wiley +1 more source
Modeling Local Search Metaheuristics Using Markov Decision Processes
AlgorithmsLocal search metaheuristics like tabu search or simulated annealing are popular heuristic optimization algorithms for finding near-optimal solutions for combinatorial optimization problems.
Rubén Ruiz-Torrubiano +3 more
doaj +1 more source
The crew-scheduling module in the GIST system [PDF]
The public transportation is gaining importance every year basically due the population growth, environmental policies and, route and street congestion.
Helena Ramalhinho-Lourenço
core
Energy Internet, EarlyView.ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An +5 more
wiley +1 more source
Revista Facultad de IngenieríaCombinatorial optimization problems are prevalent in various domains, such as logistics, planning, and resource allocation. This study is essential to fields such as applied mathematics and computer science.
Mauricio Maca-Chagüendo +1 more
doaj +1 more source
Water-Based Metaheuristics: How Water Dynamics Can Help Us to Solve NP-Hard Problems
Complexity, 2019 Many water-based optimization metaheuristics have been introduced during the last decade, both for combinatorial and for continuous optimization. Despite the strong similarities of these methods in terms of their underlying natural metaphors (most of ...
Fernando Rubio, Ismael Rodríguez
doaj +1 more source