In practice, suppliers often provide retailers with forward financing to increase demand or
decrease inventory. This paper proposes a new and practical joint replenishment and …

This paper presents an augmented Lagrangian methodology with a stochastic population
based algorithm for solving nonlinear constrained global optimization problems. The method …

This paper presents a new asynchronous parallel global optimization method and its
application to the automated device sizing in analog integrated circuit (IC) design. The …

Analog signal processing applications such as filter design and oscillators, require the use
of different kinds of amplifiers, namely: voltage follower, current conveyors, operational …

An optimization system based on two multi-objective evolutionary algorithms NSGA-II and
MOEA/D is presented for sizing analog integrated circuits. The proposed system uses …

Although proposed more than half a century ago, the Nelder–Mead simplex search
algorithm is still widely used. Four numeric constants define the operations and behavior of …

This paper proposes an enhanced variant of the particle swarm optimization technique PSO-
2S, and its application to analogue circuit performance optimization. For comparison …

Differential evolution is a simple algorithm for global optimization. Basically it consists of
three operations: mutation, crossover and selection. Despite many research papers dealing …

Differential evolution is a simple algorithm for global optimization. Basically it consists of
three operations: mutation, crossover and selection. Despite many research papers dealing …

Inverse problems in geophysics are usually described as data misfit minimization problems,
which are difficult to solve because of various mathematical features, such as multi …