Among the topics are an organizational coevolutionary algorithm for classification, an organizational coevolutionary algorithm for numerical optimization, moving block sequence for a new VSLI floorplan representation, a multiagent genetic algorithm for global numerical optimization, and a multiagent evolutionary algorithm for combinatorial optimization problems.
What does EA stand for?
EA stands for Evolutionary Algorithm
This definition appears very frequently and is found in the following Acronym Finder categories:
- Information technology (IT) and computers
See other definitions of EA
We have 103 other meanings of EA in our Acronym Attic
- Eternal Arcadia (Japanese videogame)
- Ethan Allen
- Euclidian Algorithm
- Euro Area (various organizations)
- European Co-operation for Accreditation (European community bodies)
- Evaluation Authority
- Evangelical Alliance
- Ever Active
- Everyplace Access (IBM)
- Evolutionary Acquisition
Samples in periodicals archive:
7]), the following existing hybrid multi-objective evolutionary algorithms are examined: (1) the genetic algorithm running on the internet (GAIN), (2) the parallel single front genetic algorithm (PSFGA), (3) the divided range multi-objective genetic algorithm (DRMOGA), (4) the parallel strength Pareto multi-objective evolutionary algorithm (PSPMEA), (5) the parallel multi-objective evolutionary algorithm with a hyper-graph represented population structure (pMOHypEA), (6) the multi-objective cellular genetic algorithm MOCell, (7) the simple multi-objective genetic local search algorithm (S-MOGLS), (8) the memetic Pareto-archived evolution strategy (M-PAES), (9) the hybrid EA (10) and hybrid NSGA-II (Stanley, Mudge 1995; de Toro et al.
An evolutionary algorithm is a mathematical process where potential solutions keep being improved a step at a time until the optimum is reached,' explains Dr Neumann.
Recently, our work focuses on solving the optimal layout of the sensors using an original evolutionary technique called Guiding Hyperplane Evolutionary Algorithm.
Evolutionary Algorithms for Solving Multi-objective Problems.
KEEL is a software tool to assess evolutionary algorithms for data mining problems including regression, classification, clustering, pattern mining and so on.
In 2000 Weinert and Mehnen  used an evolutionary algorithm to optimize NURBS surfaces, obtaining good results; though the method was computationally expensive.