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Showing 1 to 3 of 3 for “"Strength Pareto Evolutionary Algorithm 2"”.

  1. Portfolio management using computational intelligence approaches. Forecasting and Optimising the Stock Returns and Stock Volatilities with Fuzzy Logic, Neural Network and Evolutionary Algorithms.

    … accurately. A number of Multi-Objective Genetic Algorithms are proposed to solve the problem with two objectives subject to cardinality constraints, floor constraints and round-lot constraints. Fuzzy logic is incorporated into the Vector Evaluated Genetic Algorithm (VEGA) to but solutions tend to …

    bradford Repository record for Portfolio management using computational intelligence approaches. Forecasting and Optimising the Stock Returns and Stock Volatilities with Fuzzy Logic, Neural Network and Evolutionary Algorithms. (opens in a new tab)

  2. A multi-objective optimisation approach to the network arrangement of flexible heat demand

    … networks. The framework is built around the Strength Pareto Evolutionary Algorithm 2 (SPEA2), which takes its inspiration from evolution in nature, and is able to take into consideration the constraints of the network and multiple, conflicting objectives. The framework has been adapted to …

    strathclyde Repository record for A multi-objective optimisation approach to the network arrangement of flexible heat demand (opens in a new tab)

  3. Multi-objective network planning for the integration of electric vehicles as responsive demands

    … network. The planning framework utilises the Strength Pareto Evolutionary Algorithm 2 (SPEA2); the use of this algorithm will ensure that the network constraints are not breached and that multiple objectives are included in the analyses. This thesis investigates the impact that the inclusion …

    strathclyde Repository record for Multi-objective network planning for the integration of electric vehicles as responsive demands (opens in a new tab)