Results 11 to 20 of about 332,730 (283)
Meta-heuristic algorithms in car engine design: a literature survey [PDF]
IEEE Transactions on Evolutionary Computation, 2015 Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Tayarani-N, Mohammad-H. +2 more
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Alexandria Engineering Journal, 2023 Meta heuristics is an optimization approach that works as an intelligent technique to solve optimization problems. Evolutionary algorithms, human-based algorithms, physics-based algorithms and swarm intelligence are categorized under meta-heuristic ...
Othman Waleed Khalid +2 more
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Metaheuristic Algorithms in Optimizing Deep Neural Network Model for Software Effort Estimation
IEEE Access, 2021 Effort estimation is the most critical activity for the success of overall solution delivery in software engineering projects. In this context, the paper’s main contributions to the literature on software effort estimation are twofold. First, this
Muhammad Sufyan Khan +5 more
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Mathematics, 2022 The agile earth observation satellite scheduling problem (AEOSSP), as a time-dependent and arduous combinatorial optimization problem, has been intensively studied in the past decades.
Jiawei Chen +4 more
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A Hybrid Artificial Grasshopper Optimization (HAGOA) Meta-Heuristic Approach: A Hybrid Optimizer For Discover the Global Optimum in Given Search Space [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 Meta-heuristic algorithms are used to get optimal solutions in different engineering branches. Here four types of meta-heuristics algorithms are used such as evolutionary algorithms, swarm-based algorithms, physics based algorithms and human based ...
Brahm Prakash Dahiya +2 more
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Advances in meta-heuristic methods for large-scale black-box optimization problems
Zhongguo Jianchuan Yanjiu, 2021 The optimal design of complex engineering equipment usually faces high-complexity, high-dimensional optimization problems – the so-called "large-scale black-box optimization problems (LBOPs)" – which are characterized by unavailable mathematical ...
Puyu JIANG +3 more
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Algorithms, 2021 This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic algorithms. The technique is based on altering the state of agents using a logistic probability function that is dependent on an agent’s fitness rank.
Robertas Damaševičius +1 more
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Heuristic backtracking algorithms for SAT [PDF]
Proceedings. 4th International Workshop on Microprocessor Test and Verification - Common Challenges and Solutions, 2004 In recent years backtrack search SAT solvers have been the subject of dramatic improvements. These improvements allowed SAT solvers to successfully replace BDDs in many areas of formal verification, and also motivated the development of many new challenging problem instances, many of which too hard for the current generation of SAT solvers. As a result,
Bhalla, A. +3 more
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BCI Control of Heuristic Search Algorithms [PDF]
Frontiers in Neuroinformatics, 2017 The ability to develop Brain-Computer Interfaces (BCI) to Intelligent Systems would offer new perspectives in terms of human supervision of complex Artificial Intelligence (AI) systems, as well as supporting new types of applications. In this article, we introduce a basic mechanism for the control of heuristic search through fNIRS-based BCI.
Cavazza, Marc +2 more
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Genetic algorithm based DSP multiprocessor scheduling [PDF]
, 1996 This paper presents recent work on the application of genetic algorithms to the NP-complete problem of multiprocessor scheduling for audio DSP algorithms.
Amphlett, RW, Bull, DR
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