Multi-objective evolutionary algorithms using the weighted sum of the objectives as the fitness functions feature simple execution and effectiveness in multiobjective optimization. However, they cannot find the Pareto solutions on the non-convex part of the Pareto frontier, and thus are difficult to find evenly distributed solutions. Under the circumstances, this paper proposes a new evolutiona...

An integrated framework for modeling and evaluating the economic impacts of environmental dispatching and fuel switching is presented in this paper. It explores the potential for operational changes in utility commitment and dispatching to achieve least cost operation while complying to rigorous environmental standards. The work reported here employs a heuristics-guided evolutionary algorithm t...

In this work, we address the functional-unit based life cycle optimisation of the design and operations of shale gas supply chain networks considering both the economic and environmental performance. The system covers the well-to-wire life cycle of electricity generated from shale gas, consisting of a number of stages including freshwater acquisition, shale well drilling, fracking, and completi...

This paper introduces a novel efficient partial shape matching method named IS-Match. We use sampled points from the silhouette as a shape representation. The sampled points can be ordered which in turn allows to formulate the matching step as an order-preserving assignment problem. We propose an angle descriptor between shape chords combining the advantages of global and local shape descriptio...

The usual approach to solving the Multiple Criteria Decision Making (MCDM) problem is by either using a weighted objective function based on each individual objective or by optimizing one objective while setting constraints on the others. These approaches try to find a point on the efficient frontier or the Pareto optimal set based on the preferences of the decision maker. Here, a new algorithm...

In this work, the life cycle economic and environmental optimization of shale gas supply chain network design and operations is addressed. The proposed model covers the well-to-wire life cycle of electricity generated from shale gas, consisting of a number of stages including freshwater acquisition, shale well drilling, hydraulic fracturing and completion, shale gas production, wastewater manag...

A novel approach for multi-objective generation scheduling is presented. The work reported here employs a simple heuristics-guided evolutionary algorithm to generate solutions to this nonlinear constrained optimization problem where the objectives are mutually conflicting and equally important. The algorithm produces a cost-emission frontier of Pareto-optimal solutions, any of which can be sele...

©James Huang All rights reserved. Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission, provided that full acknowledgement is given. We derive necessary and sufficient conditions for a Pareto optimal sharing rule to be linear in wealth and for all Pareto optimal sharing rules to be linear in wealth. We also show that when agents' beliefs have a particu...

Modular multilevel converters can achieve high power quality and voltage ratings, becoming a good alternative for high-voltage direct-current applications. However, the circulating current capacitor ripple remain significant drawbacks, mainly due to impact on efficiency density. In this work, stationary operation of modular converter is optimized by calculating Pareto frontier arm energy conduc...

Reliability analysis for liquefied natural gas (LNG) pipeline network brings researchers huge challenges because the system experience multiple dependent competing failure processes. Based on system reliability R(t) and time to failure distribution f(t) analyzed from system failure modes and mechanisms, we can generate LNG pipeline life data. Different maintenance policies can be considered as ...