107,063 Result(s)
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Bioinformatics
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Article
The multi-criteria evaluation of research efforts based on ETL software: from business intelligence approach to big data and semantic approaches
Many industries and academia have devoted a lot of effort and money to creating and/or using good extract-transform-load (ETL) software suitable for their data analysis purposes since it is considered a key to...
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Article
Surrogate-assisted evolutionary optimisation: a novel blueprint and a state of the art survey
Surrogate-Assisted Evolutionary Optimisation algorithms are a specialized brand of optimisers developed to undertake problems with computationally expensive fitness functions. These algorithms work by building...
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Article
Open AccessArtificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach
Over the past few decades, the topic of artificial intelligence (AI) has gained considerable attention in both research and industry. In particular, the healthcare sector has witnessed a surge in the use of AI...
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Hybrid evolutionary grey wolf optimizer for constrained engineering problems and multi-unit production planning
A novel approach called hybrid evolutionary GWO (HE-GWO) is proposed to enhance the effectiveness of the grey wolf optimizer (GWO) for handling dynamic landscapes. This approach combines the strengths of the c...
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Article
sqFm: a novel adaptive optimization scheme for deep learning model
For deep model training, an optimization technique is required that minimizes loss and maximizes accuracy. The development of an effective optimization method is one of the most important study areas. The diff...
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Article
A hybrid ant colony optimization algorithm to solve a transport problem with stochastic customer demands and electric vehicles of limited load capacity
The goal of this paper is to adapt a Hybrid Ant Colony Optimisation algorithm to solve a new mathematic model for the Capacited Electric Vehicle Routing Problem (CEVRP), with random customer demands being to b...
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Article
A recent approach based on inspired crows behavior in steganography
Nowadays, preventing data transmission via networks from unauthorized access has become crucial. In this work, we introduce a new enhanced Crow Search Algorithm (CSA), named NECSA, for solving the search probl...
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Article
Chaotic vegetation evolution: leveraging multiple seeding strategies and a mutation module for global optimization problems
This paper focuses on improving the overall performance of the vegetation evolution (VEGE) algorithm and proposes a chaotic VEGE with multiple seeding strategies and a mutation module (CVEGE). While the origin...
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Article
Application of FUZZY-3DOF-PID controller for controlling FOPTD type communication delay based renewable three-area deregulated hybrid power system
Renewable energy promises to be a good substitute for traditional sources for a constant supply of power. Large-scale electrical grids may experience major synchronization imbalances between various components...
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Article
Sustainable multiple travelling salesman problem solved by reference point aspiration level based multi objective quasi oppositional Jaya algorithm under uncertain environment
Carbon emission varies from vehicle to vehicle, along with the route selected for travelling, curb weight, vehicle speed, etc., are uncertain. Considering appropriate routes and vehicles to reduce carbon emiss...
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Article
Quasi-dynamic opposite learning enhanced Runge-Kutta optimizer for solving complex optimization problems
The Runge-Kutta Optimization (RUNGE) algorithm is a recently proposed metaphor-free metaheuristic optimizer borrowing practical mathematical foundations of the famous Runge-Kutta differential equation solver. ...
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Article
Geometric mean optimizer for achieving efficiency in truss structural design
The objective of this study is to utilize the geometric mean optimizer (GMO) for mass optimization of structural trusses. By harnessing the GMO’s mutation mechanism rooted in a Gaussian framework, the model ef...
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Article
A nearest neighbor query method for searching objects with time and location informations based on spatiotemporal similarity
It is crucial for users to find lots of information with time and geographical tags on the Internet. Therefore, a nearest neighbor query method called STR-kNN is proposed. Using the method of calculating the s...
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Article
Cluster based active learning for classification of evolving streams
Classification of imbalanced unlabelled data streams with concept drift in evolving streams has posed many challenges recently. Learner performance from the minority class is poor at high imbalance degrees. Th...
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Article
Bilevel optimization based on foraging by different ant species for real-time transportation planning
Initiating a transportation process during heavy traffic conditions or adverse weather conditions has a retracting impact on the cost, even if the transit path chosen is optimal. This paper proposes an algorit...
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Article
Improved Harris Hawks Optimizer algorithm to solve the multi-depot open vehicle routing problem
The Multi-Depot Open Vehicle Routing Problem (MDOVRP) is only one example of several optimization problems that are classified as NP-hard. Therefore, heuristic and metaheuristic approaches are helpful in obtai...
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Article
Quantum-inspired meta-heuristic approaches for a constrained portfolio optimization problem
Portfolio optimization has long been a challenging proposition and a widely studied topic in finance and management. It involves selecting and allocating the right assets according to the desired objectives. I...
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Article
Correction to: Fast aggregation method of WSNs dynamic data based on micro-cluster evolutionary learning
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Article
A dynamic tri-population multi-objective evolutionary algorithm for constrained multi-objective optimization problems
Balancing between the convergence, feasibility, and diversity of the population is the key to solving constrained multi-objective optimization problems (CMOPs). However, the existing constrained multi-objectiv...
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Article
Elephant flow detection intelligence for software-defined networks: a survey on current techniques and future direction
Software-defined networking (SDN) is characterized by the separation of the packet forwarding plane from the network control plane. This separation offers an extensive view of the network’s state, enhancing ne...
