|
Memetic Computing
{{Cleanup, reason=The article is full of incorrect capitalization., date=May 2024 Memetic computing is a novel computational paradigm that incorporates the notion of meme(s) as basic units of transferable information encoded in computational representations for boosting the performance of artificial evolutionary systems in the domain of search and optimization. The term memetic computing is often unassumingly misinterpreted to mean the same thing as memetic algorithms (MAs) that typically hybridize population-based global search algorithms with one or more local search schemes. Notably, memetic computing offers a much broader scope, perpetuating the idea of memes into concepts that pave the way towards simultaneous problem learning and optimization approaches. Methods There are two different methods that describe the history and rise of memetics in computing. These are human-crafted memes and machine-crafted memes. Human-crafted memes One of the most widely recognised inst ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Meme
A meme (; ) is an idea, behavior, or style that Mimesis, spreads by means of imitation from person to person within a culture and often carries symbolic meaning representing a particular phenomenon or theme. A meme acts as a unit for carrying culture, cultural ideas, symbols, or practices, that can be transmitted from one mind to another through writing, speech, gestures, rituals, or other imitable phenomena with a mimicked theme. Supporters of the concept regard memes as cultural analogues to genes in that they Self-replication, self-replicate, mutate, and respond to natural selection, selective pressures. In popular language, a meme may refer to an Internet meme, typically an image, that is remixed, copied, and circulated in a shared cultural experience online. Proponents theorize that memes are a viral phenomenon that may evolve by natural selection in a manner analogous to that of evolution, biological evolution. Memes do this through processes analogous to those of genetic ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Optimization
Mathematical optimization (alternatively spelled ''optimisation'') or mathematical programming is the selection of a best element, with regard to some criteria, from some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from computer science and engineering to operations research and economics, and the development of solution methods has been of interest in mathematics for centuries. In the more general approach, an optimization problem consists of maxima and minima, maximizing or minimizing a Function of a real variable, real function by systematically choosing Argument of a function, input values from within an allowed set and computing the Value (mathematics), value of the function. The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics. Optimization problems Opti ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Memetic Algorithms
In computer science Computer science is the study of computation, information, and automation. Computer science spans Theoretical computer science, theoretical disciplines (such as algorithms, theory of computation, and information theory) to Applied science, ... and operations research, a memetic algorithm (MA) is an extension of an evolutionary algorithm (EA) that aims to accelerate the evolutionary search for the optimum. An EA is a metaheuristic that reproduces the basic principles of biological evolution as a computer algorithm in order to solve challenging Optimization problem, optimization or planning tasks, at least Approximation, approximately. An MA uses one or more suitable heuristics or Local search (optimization), local search techniques to improve the quality of solutions generated by the EA and to speed up the search. The effects on the Premature convergence, reliability of finding the global optimum depend on both the use case and the Memetic algorithm#Som ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
