Bilevel optimization is a field of mathematical programming in which some variables are
constrained to be the solution of another optimization problem. As a consequence, bilevel …

In this paper, we present a review of deterministic software for solving convex MINLP
problems as well as a comprehensive comparison of a large selection of commonly …

The significant growth of gas-fired power plants and emerging power-to-gas (PtG)
technology has intensified the interdependency between electricity and natural gas systems …

It is of great importance to develop an optimal supply chain (SC) batch-sizing policy that
collectively embodies green policies and a vendor-managed inventory (VMI) with …

Many optimal decision problems in scientific, engineering, and public sector applications
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …

Unit commitment, one of the most critical tasks in electric power system operations, faces
new challenges as the supply and demand uncertainty increases dramatically due to the …

Bilevel optimization is a vital field of active research. Depending on its formulation it is part of
nonsmooth or nondifferentiable optimization, conic programming, optimization with …

Joint Economic Lot-sizing Problems (JELPs) have received a great deal of attention in
recent years because they are the bedrock of pushing forward the frontiers of knowledge in …

Optimal lot-sizing policy in supply chain (SC) has an important role in companies applying
SC management to their system. An excellent lot-sizing policy will control and manage the …

Filling a void in chemical engineering and optimization literature, this book presents the
theory and methods for nonlinear and mixed-integer optimization, and their applications in …