Evolutionary algorithms: A critical review and its future prospects

PA Vikhar - 2016 International conference on global trends in …, 2016 - ieeexplore.ieee.org
Evolutionary algorithm (EA) emerges as an important optimization and search technique in
the last decade. EA is a subset of Evolutionary Computations (EC) and belongs to set of …

A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference

R Salgotra, P Sharma, S Raju, AH gandomi - Archives of Computational …, 2024 - Springer
Optimization is a method which is used in every field, such as engineering, space, finance,
fashion market, mass communication, travelling, and also in our daily activities. In every …

PSO-based analysis of Echo State Network parameters for time series forecasting

N Chouikhi, B Ammar, N Rokbani, AM Alimi - Applied Soft Computing, 2017 - Elsevier
Abstract Echo State Networks, ESNs, are standardly composed of additive units undergoing
sigmoid function activation. They consist of a randomly recurrent neuronal infra-structure …

Methods for applying the quantitative structure-activity relationship paradigm

EX Esposito, AJ Hopfinger, JD Madura - … : Concepts, methods, and tools for …, 2004 - Springer
Abstract There are several Quantitative Structure-Activity Relationship (QSAR) methods to
assist in the design of compounds for medicinal use. Owing to the different QSAR …

Systems and methods for efficient frontier supplementation in multi-objective portfolio analysis

PP Bonissone, S Bollapragada… - US Patent …, 2008 - Google Patents
36 objectives, to generate an efficient frontier of possible solu tions; observing the generated
efficient frontier; based on the observing, identifying an area of the efficient frontier in which …

Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain

E Badakhshan, P Humphreys, L Maguire… - International Journal of …, 2020 - Taylor & Francis
The bullwhip effect (BWE) is a phenomenon, which is caused by ineffective inventory
decisions made by supply chain members. In addition to known inefficiencies caused by the …

Systems and methods for multi-objective portfolio optimization

KC Chalermkraivuth, S Bollapragada… - US Patent …, 2009 - Google Patents
The systems and methods of the invention are directed to portfolio optimization and related
techniques. For example, the invention provides a method for multi-objective portfolio …

Methods and systems for analytical-based multifactor Multiobjective portfolio risk optimization

KC Chalermkraivuth, A Chakraborty, MC Clark… - US Patent …, 2009 - Google Patents
The invention provides systems and methods for determining the allocation of securities in a
portfolio. The method includes providing a collection of securities in a portfolio, each Secu …

A stochastic programming approach to enhance the resilience of infrastructure under weather‐related risk

N Zhang, A Alipour - Computer‐Aided Civil and Infrastructure …, 2023 - Wiley Online Library
The presented methodology results in an optimal portfolio of resilience‐oriented resource
allocation under weather‐related risks. The pre‐event mitigations improve the capacity of …

Systems and methods for multi-objective portfolio analysis using pareto sorting evolutionary algorithms

RV Subbu, S Bollapragada, PP Bonissone… - US Patent …, 2012 - Google Patents
The systems and methods of the invention are directed to portfolio optimization and related
techniques. For example, the invention provides a method for multi-objective portfolio …