Optimization in solving inventory control problem using nature inspired Emperor Penguins Colony algorithm
In the present day markets, it is essential for organizations that manage their supply chain
efficiency to sustain their market share and improve profitability. Optimized inventory control …
efficiency to sustain their market share and improve profitability. Optimized inventory control …
Enhancing portfolio management using artificial intelligence: literature review
Building an investment portfolio is a problem that numerous researchers have addressed for
many years. The key goal has always been to balance risk and reward by optimally …
many years. The key goal has always been to balance risk and reward by optimally …
Solving constrained portfolio optimization model using stochastic fractal search approach
Purpose Optimum utilization of investments has always been considered one of the most
crucial aspects of capital markets. Investment into various securities is the subject of portfolio …
crucial aspects of capital markets. Investment into various securities is the subject of portfolio …
Combinatorial artificial bee colony algorithm hybridised with a new release of iterated local search for job shop scheduling problem
Job shop scheduling problem (JSP) is recognised as an attractive subject in production
management and combinatorial optimisation. However, it is known as one of the most …
management and combinatorial optimisation. However, it is known as one of the most …
A State-of-the-Art of Stock Market Prediction Using Neural Network in Recent years
M Banerjee, V Garg - Proceedings of the International Conference on …, 2022 - Springer
Stock market has always been a complex, intriguing, and yet interesting topic for investors.
Almost everyone is directly or indirectly connected with stock markets, and stock price …
Almost everyone is directly or indirectly connected with stock markets, and stock price …
Deriving weights of investment alternatives using DEAHP
Analytical hierarchy process (AHP) is known for its great flexibility and wide applicability.
Because of ease of use, AHP has been studied extensively and used in all applications …
Because of ease of use, AHP has been studied extensively and used in all applications …
A Risk-Budgeted Portfolio Selection Strategy Using Novel Metaheuristic Optimization Approach
Portfolio construction by selecting the right combination of securities is the subject matter of
portfolio optimization, making efforts to optimize expected return on risk. The investors are …
portfolio optimization, making efforts to optimize expected return on risk. The investors are …