With the mushrooming of distributed renewable generation, energy storage unit (ESU) is becoming increasingly important in residential systems. This letter proposes a fractional programming model to determine optimal power, and capacities ESUs. The objective function maximizes ratio between reduced electricity tariff, investment cost ESU, ensuring minimal payback time. A decomposition algorithm ...

Financial applications have a long history of including optimization, starting with Markowitz’s origin of the quadratic optimization model for determining an efficient portfolio to minimize variance for a given return. Portfolio optimization continues to be an active area with most applications focused on linear and quadratic optimization. General nonlinear optimization arises in this area, how...

a new powerful optimization algorithm inspired from colonizing weeds is utilized to solve the well-known quadratic assignment problem (qap) which is of application in a large number of practical areas such as plant layout, machinery layout and so on. a set of reference numerical problems from qaplib is taken in order to evaluate the efficiency of the algorithm compared with the previous ones wh...

This letter studies the energy efficiency (EE) optimization of cooperative visible light communication (VLC) systems while considering inter-cell interference and lineof-sight blockage problems. Specifically, problem subchannel power allocation to maximize EE under transmit budgets users' minimum rate constraints is considered. The formulated turns out be a difficult nonlinear fractional progra...

A Unifying Framework for the Convexification of Mixed-Integer Conic Binary Sets The paper “Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications,” by Fatma Kilinc-Karzan, Simge Kucukyavuz, Dabeen Lee, Soroosh Shafieezadeh-Abadeh, develops a unifying framework convexifying mixed-integer conic binary sets. Many applications in machine-learning operations research give rise to in...