differential evolution
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A Study and Performance Evaluation of Evolutionary Optimization Techniques for Multi-objective Master Production Scheduling Problems
Abstract: Master production schedule (MPS) can effectively and efficiently synchronize the operations in any organization. MPS, which is posed as one of the multi-objective parameter optimization problems, is a plan that determines optimal values of products to be produced. For many engineering optimization problems, more competitive and optimal solutions can be obtained by using Heuristic evolutionary optimization algorithms. Among these, two main algorithms considered here are the differential evolution (DE) whose …
Published in Journal of Production Research & Management · Vol. 3, Issue 2, 2013 · pp. 12–22 Read article
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Model Optimisation of Waterflood and Low Salinity Brine Injection to Enhance Gas Condensate Recovery – A Case Study of A Rich Gas Condensate Sandstone Reservoir in The Offshore Tano Basin of Ghana
Abstract: To enhance production of entrapped condensate in gas-condensate reservoirs without delay in produced gas sales, this study looked at the impact of waterflood and low saline brine injection on an offshore gascondensate reservoir in the Tano Basin, Ghana, West-Africa. The injector well placements, rate, and pressure were optimised using three optimisers (Differential Evolution, Particle Swarm Optimisation, Design Exploration and Controlled Evolution). Condensate and gas recovery increased by 30.3% (from 19.1% …
Published in Journal of Petroleum Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 20–31 Read article
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Optimization of Helical Spring Weight using Meta-heuristic Algorithms
Abstract: Optimization is the act of obtaining the best results under given circumstances. A mathematical theory of optimization is highly in use and is being applied to design where design function can be expressed mathematically. Many techniques like Linear Programming, Branch & Bound technique, Dynamic Programming methods are available to solve optimization problems. But these conventional Methods suffer from certain drawbacks like sticking at suboptimal solution, inefficiency in handling problems having …
Published in Trends in Machine design · Vol. 5, Issue 2, 2018 · pp. 21–28 Read article